435 lines
488 KiB
Plaintext
435 lines
488 KiB
Plaintext
Model: "unet"
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┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓
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┃ Layer (type) ┃ Output Shape ┃ Param # ┃ Connected to ┃
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┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
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│ input_layer │ (None, 128, 128, │ 0 │ - │
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│ (InputLayer) │ 3) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ conv2d (Conv2D) │ (None, 128, 128, │ 1,792 │ input_layer[0][0] │
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│ │ 64) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ batch_normalization │ (None, 128, 128, │ 256 │ conv2d[0][0] │
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│ (BatchNormalizatio… │ 64) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ leaky_re_lu │ (None, 128, 128, │ 0 │ batch_normalizat… │
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│ (LeakyReLU) │ 64) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ conv2d_1 (Conv2D) │ (None, 128, 128, │ 36,928 │ leaky_re_lu[0][0] │
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│ │ 64) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ batch_normalizatio… │ (None, 128, 128, │ 256 │ conv2d_1[0][0] │
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│ (BatchNormalizatio… │ 64) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ leaky_re_lu_1 │ (None, 128, 128, │ 0 │ batch_normalizat… │
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│ (LeakyReLU) │ 64) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ max_pooling2d │ (None, 64, 64, │ 0 │ leaky_re_lu_1[0]… │
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│ (MaxPooling2D) │ 64) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ conv2d_2 (Conv2D) │ (None, 64, 64, │ 73,856 │ max_pooling2d[0]… │
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│ │ 128) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ batch_normalizatio… │ (None, 64, 64, │ 512 │ conv2d_2[0][0] │
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│ (BatchNormalizatio… │ 128) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ leaky_re_lu_2 │ (None, 64, 64, │ 0 │ batch_normalizat… │
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│ (LeakyReLU) │ 128) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ conv2d_3 (Conv2D) │ (None, 64, 64, │ 147,584 │ leaky_re_lu_2[0]… │
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│ │ 128) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ batch_normalizatio… │ (None, 64, 64, │ 512 │ conv2d_3[0][0] │
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│ (BatchNormalizatio… │ 128) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ leaky_re_lu_3 │ (None, 64, 64, │ 0 │ batch_normalizat… │
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│ (LeakyReLU) │ 128) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ max_pooling2d_1 │ (None, 32, 32, │ 0 │ leaky_re_lu_3[0]… │
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│ (MaxPooling2D) │ 128) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ conv2d_4 (Conv2D) │ (None, 32, 32, │ 295,168 │ max_pooling2d_1[… │
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│ │ 256) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ batch_normalizatio… │ (None, 32, 32, │ 1,024 │ conv2d_4[0][0] │
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│ (BatchNormalizatio… │ 256) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ leaky_re_lu_4 │ (None, 32, 32, │ 0 │ batch_normalizat… │
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│ (LeakyReLU) │ 256) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ conv2d_5 (Conv2D) │ (None, 32, 32, │ 590,080 │ leaky_re_lu_4[0]… │
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│ │ 256) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ batch_normalizatio… │ (None, 32, 32, │ 1,024 │ conv2d_5[0][0] │
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│ (BatchNormalizatio… │ 256) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ leaky_re_lu_5 │ (None, 32, 32, │ 0 │ batch_normalizat… │
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│ (LeakyReLU) │ 256) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ max_pooling2d_2 │ (None, 16, 16, │ 0 │ leaky_re_lu_5[0]… │
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│ (MaxPooling2D) │ 256) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ conv2d_6 (Conv2D) │ (None, 16, 16, │ 1,180,160 │ max_pooling2d_2[… │
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│ │ 512) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ batch_normalizatio… │ (None, 16, 16, │ 2,048 │ conv2d_6[0][0] │
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│ (BatchNormalizatio… │ 512) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ leaky_re_lu_6 │ (None, 16, 16, │ 0 │ batch_normalizat… │
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│ (LeakyReLU) │ 512) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ conv2d_7 (Conv2D) │ (None, 16, 16, │ 2,359,808 │ leaky_re_lu_6[0]… │
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│ │ 512) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ batch_normalizatio… │ (None, 16, 16, │ 2,048 │ conv2d_7[0][0] │
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│ (BatchNormalizatio… │ 512) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ leaky_re_lu_7 │ (None, 16, 16, │ 0 │ batch_normalizat… │
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│ (LeakyReLU) │ 512) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ max_pooling2d_3 │ (None, 8, 8, 512) │ 0 │ leaky_re_lu_7[0]… │
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│ (MaxPooling2D) │ │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ conv2d_8 (Conv2D) │ (None, 8, 8, │ 4,719,616 │ max_pooling2d_3[… │
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│ │ 1024) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ batch_normalizatio… │ (None, 8, 8, │ 4,096 │ conv2d_8[0][0] │
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│ (BatchNormalizatio… │ 1024) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ leaky_re_lu_8 │ (None, 8, 8, │ 0 │ batch_normalizat… │
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│ (LeakyReLU) │ 1024) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ conv2d_9 (Conv2D) │ (None, 8, 8, │ 9,438,208 │ leaky_re_lu_8[0]… │
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│ │ 1024) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ batch_normalizatio… │ (None, 8, 8, │ 4,096 │ conv2d_9[0][0] │
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│ (BatchNormalizatio… │ 1024) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ leaky_re_lu_9 │ (None, 8, 8, │ 0 │ batch_normalizat… │
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│ (LeakyReLU) │ 1024) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ up_sampling2d │ (None, 16, 16, │ 0 │ leaky_re_lu_9[0]… │
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│ (UpSampling2D) │ 1024) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ concatenate │ (None, 16, 16, │ 0 │ up_sampling2d[0]… │
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│ (Concatenate) │ 1536) │ │ leaky_re_lu_7[0]… │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ conv2d_10 (Conv2D) │ (None, 16, 16, │ 7,078,400 │ concatenate[0][0] │
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│ │ 512) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ batch_normalizatio… │ (None, 16, 16, │ 2,048 │ conv2d_10[0][0] │
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│ (BatchNormalizatio… │ 512) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ leaky_re_lu_10 │ (None, 16, 16, │ 0 │ batch_normalizat… │
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│ (LeakyReLU) │ 512) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ conv2d_11 (Conv2D) │ (None, 16, 16, │ 2,359,808 │ leaky_re_lu_10[0… │
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│ │ 512) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ batch_normalizatio… │ (None, 16, 16, │ 2,048 │ conv2d_11[0][0] │
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│ (BatchNormalizatio… │ 512) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ leaky_re_lu_11 │ (None, 16, 16, │ 0 │ batch_normalizat… │
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│ (LeakyReLU) │ 512) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ up_sampling2d_1 │ (None, 32, 32, │ 0 │ leaky_re_lu_11[0… │
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│ (UpSampling2D) │ 512) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ concatenate_1 │ (None, 32, 32, │ 0 │ up_sampling2d_1[… │
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│ (Concatenate) │ 768) │ │ leaky_re_lu_5[0]… │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ conv2d_12 (Conv2D) │ (None, 32, 32, │ 1,769,728 │ concatenate_1[0]… │
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│ │ 256) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ batch_normalizatio… │ (None, 32, 32, │ 1,024 │ conv2d_12[0][0] │
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│ (BatchNormalizatio… │ 256) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ leaky_re_lu_12 │ (None, 32, 32, │ 0 │ batch_normalizat… │
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│ (LeakyReLU) │ 256) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ conv2d_13 (Conv2D) │ (None, 32, 32, │ 590,080 │ leaky_re_lu_12[0… │
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│ │ 256) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ batch_normalizatio… │ (None, 32, 32, │ 1,024 │ conv2d_13[0][0] │
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│ (BatchNormalizatio… │ 256) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ leaky_re_lu_13 │ (None, 32, 32, │ 0 │ batch_normalizat… │
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│ (LeakyReLU) │ 256) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ up_sampling2d_2 │ (None, 64, 64, │ 0 │ leaky_re_lu_13[0… │
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│ (UpSampling2D) │ 256) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ concatenate_2 │ (None, 64, 64, │ 0 │ up_sampling2d_2[… │
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│ (Concatenate) │ 384) │ │ leaky_re_lu_3[0]… │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ conv2d_14 (Conv2D) │ (None, 64, 64, │ 442,496 │ concatenate_2[0]… │
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│ │ 128) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ batch_normalizatio… │ (None, 64, 64, │ 512 │ conv2d_14[0][0] │
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│ (BatchNormalizatio… │ 128) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ leaky_re_lu_14 │ (None, 64, 64, │ 0 │ batch_normalizat… │
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│ (LeakyReLU) │ 128) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ conv2d_15 (Conv2D) │ (None, 64, 64, │ 147,584 │ leaky_re_lu_14[0… │
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│ │ 128) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ batch_normalizatio… │ (None, 64, 64, │ 512 │ conv2d_15[0][0] │
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│ (BatchNormalizatio… │ 128) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ leaky_re_lu_15 │ (None, 64, 64, │ 0 │ batch_normalizat… │
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│ (LeakyReLU) │ 128) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ up_sampling2d_3 │ (None, 128, 128, │ 0 │ leaky_re_lu_15[0… │
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│ (UpSampling2D) │ 128) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ concatenate_3 │ (None, 128, 128, │ 0 │ up_sampling2d_3[… │
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│ (Concatenate) │ 192) │ │ leaky_re_lu_1[0]… │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ conv2d_16 (Conv2D) │ (None, 128, 128, │ 110,656 │ concatenate_3[0]… │
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│ │ 64) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ batch_normalizatio… │ (None, 128, 128, │ 256 │ conv2d_16[0][0] │
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│ (BatchNormalizatio… │ 64) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ leaky_re_lu_16 │ (None, 128, 128, │ 0 │ batch_normalizat… │
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│ (LeakyReLU) │ 64) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ conv2d_17 (Conv2D) │ (None, 128, 128, │ 36,928 │ leaky_re_lu_16[0… │
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│ │ 64) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ batch_normalizatio… │ (None, 128, 128, │ 256 │ conv2d_17[0][0] │
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│ (BatchNormalizatio… │ 64) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ leaky_re_lu_17 │ (None, 128, 128, │ 0 │ batch_normalizat… │
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│ (LeakyReLU) │ 64) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ dropout (Dropout) │ (None, 128, 128, │ 0 │ leaky_re_lu_17[0… │
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│ │ 64) │ │ │
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├─────────────────────┼───────────────────┼────────────┼───────────────────┤
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│ conv2d_18 (Conv2D) │ (None, 128, 128, │ 130 │ dropout[0][0] │
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│ │ 2) │ │ │
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└─────────────────────┴───────────────────┴────────────┴───────────────────┘
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Total params: 31,402,562 (119.79 MB)
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Trainable params: 31,390,786 (119.75 MB)
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Non-trainable params: 11,776 (46.00 KB)
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Epoch 1/10
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[1m 1/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m10:44[0m 5s/step - accuracy: 0.6397 - loss: 0.7025 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3204
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[1m 2/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 296ms/step - accuracy: 0.5997 - loss: 0.7453 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3284
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[1m 3/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 299ms/step - accuracy: 0.6020 - loss: 0.7351 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3274
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[1m 4/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 296ms/step - accuracy: 0.6105 - loss: 0.7202 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3265
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[1m 5/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 296ms/step - accuracy: 0.6225 - loss: 0.7031 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3252
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[1m 6/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 299ms/step - accuracy: 0.6359 - loss: 0.6860 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3240
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[1m 7/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 300ms/step - accuracy: 0.6494 - loss: 0.6695 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3230
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[1m 8/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 301ms/step - accuracy: 0.6622 - loss: 0.6542 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3224
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[1m 9/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 300ms/step - accuracy: 0.6741 - loss: 0.6400 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3220
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[1m 10/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 299ms/step - accuracy: 0.6853 - loss: 0.6267 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3218
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[1m 11/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 299ms/step - accuracy: 0.6954 - loss: 0.6145 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3218
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[1m 13/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 299ms/step - accuracy: 0.7137 - loss: 0.5922 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3223
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[1m 14/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 298ms/step - accuracy: 0.7218 - loss: 0.5821 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3227
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[1m 15/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 298ms/step - accuracy: 0.7294 - loss: 0.5726 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3232
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[1m 16/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m30s[0m 297ms/step - accuracy: 0.7366 - loss: 0.5635 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3237
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[1m 17/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m30s[0m 297ms/step - accuracy: 0.7433 - loss: 0.5548 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3244
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[1m 18/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 297ms/step - accuracy: 0.7495 - loss: 0.5466 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3251
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[1m 19/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 297ms/step - accuracy: 0.7555 - loss: 0.5387 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3258
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[1m 20/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 297ms/step - accuracy: 0.7610 - loss: 0.5311 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3267
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[1m 21/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 298ms/step - accuracy: 0.7663 - loss: 0.5239 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3275
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[1m 22/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 298ms/step - accuracy: 0.7713 - loss: 0.5169 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3284
|
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[1m 23/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m28s[0m 298ms/step - accuracy: 0.7759 - loss: 0.5103 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3293
|
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[1m 24/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 298ms/step - accuracy: 0.7804 - loss: 0.5040 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3302
|
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[1m 25/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 298ms/step - accuracy: 0.7846 - loss: 0.4979 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3312
|
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[1m 26/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 298ms/step - accuracy: 0.7886 - loss: 0.4920 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3321
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[1m 27/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 298ms/step - accuracy: 0.7924 - loss: 0.4864 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3331
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[1m 28/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 298ms/step - accuracy: 0.7960 - loss: 0.4810 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3341
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[1m 29/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 298ms/step - accuracy: 0.7995 - loss: 0.4758 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3350
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[1m 30/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 298ms/step - accuracy: 0.8028 - loss: 0.4707 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3360
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[1m 31/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 298ms/step - accuracy: 0.8059 - loss: 0.4658 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3370
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[1m 32/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 298ms/step - accuracy: 0.8090 - loss: 0.4610 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3379
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[1m 33/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 298ms/step - accuracy: 0.8119 - loss: 0.4564 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3389
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[1m 34/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 298ms/step - accuracy: 0.8146 - loss: 0.4520 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3399
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[1m 35/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 298ms/step - accuracy: 0.8173 - loss: 0.4477 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3408
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[1m 36/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m25s[0m 298ms/step - accuracy: 0.8199 - loss: 0.4436 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3418
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[1m 37/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 298ms/step - accuracy: 0.8223 - loss: 0.4396 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3427
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[1m 38/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 298ms/step - accuracy: 0.8247 - loss: 0.4357 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3436
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[1m 39/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 298ms/step - accuracy: 0.8270 - loss: 0.4319 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3446
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[1m 40/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m23s[0m 298ms/step - accuracy: 0.8292 - loss: 0.4282 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3455
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[1m 41/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m23s[0m 298ms/step - accuracy: 0.8313 - loss: 0.4247 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3464
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[1m 42/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m23s[0m 298ms/step - accuracy: 0.8334 - loss: 0.4212 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3473
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[1m 43/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 298ms/step - accuracy: 0.8353 - loss: 0.4178 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3482
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[1m 44/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 298ms/step - accuracy: 0.8373 - loss: 0.4145 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3490
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[1m 45/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 298ms/step - accuracy: 0.8391 - loss: 0.4113 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3499
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[1m 46/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 298ms/step - accuracy: 0.8409 - loss: 0.4082 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3507
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[1m 47/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m21s[0m 298ms/step - accuracy: 0.8426 - loss: 0.4052 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3516
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[1m 48/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 298ms/step - accuracy: 0.8443 - loss: 0.4022 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3524
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[1m 49/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 298ms/step - accuracy: 0.8460 - loss: 0.3994 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3532
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[1m 50/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 298ms/step - accuracy: 0.8475 - loss: 0.3966 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3540
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[1m 51/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 298ms/step - accuracy: 0.8491 - loss: 0.3938 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3548
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[1m 52/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 298ms/step - accuracy: 0.8506 - loss: 0.3912 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3556
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[1m 53/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m19s[0m 298ms/step - accuracy: 0.8520 - loss: 0.3886 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3564
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[1m 54/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 298ms/step - accuracy: 0.8534 - loss: 0.3860 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3572
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[1m 55/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 298ms/step - accuracy: 0.8548 - loss: 0.3835 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3579
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[1m 56/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 298ms/step - accuracy: 0.8561 - loss: 0.3811 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3587
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[1m 57/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 298ms/step - accuracy: 0.8574 - loss: 0.3787 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3594
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[1m 58/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 298ms/step - accuracy: 0.8587 - loss: 0.3764 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3601
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[1m 59/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 298ms/step - accuracy: 0.8599 - loss: 0.3741 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3608
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[1m 60/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 298ms/step - accuracy: 0.8611 - loss: 0.3719 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3616
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[1m 61/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 298ms/step - accuracy: 0.8623 - loss: 0.3697 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3622
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[1m 62/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 298ms/step - accuracy: 0.8634 - loss: 0.3676 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3629
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[1m 63/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 298ms/step - accuracy: 0.8645 - loss: 0.3655 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3636
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[1m 64/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 298ms/step - accuracy: 0.8656 - loss: 0.3634 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3643
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[1m 65/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 298ms/step - accuracy: 0.8666 - loss: 0.3614 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3649
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[1m 66/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m16s[0m 298ms/step - accuracy: 0.8677 - loss: 0.3594 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3656
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[1m 67/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 298ms/step - accuracy: 0.8687 - loss: 0.3575 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3662
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[1m 68/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 298ms/step - accuracy: 0.8697 - loss: 0.3556 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3668
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[1m 69/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 298ms/step - accuracy: 0.8706 - loss: 0.3537 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3675
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[1m 70/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m14s[0m 298ms/step - accuracy: 0.8716 - loss: 0.3519 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3681
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[1m 71/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m14s[0m 298ms/step - accuracy: 0.8725 - loss: 0.3501 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3687
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[1m 72/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 298ms/step - accuracy: 0.8734 - loss: 0.3483 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3693
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[1m 73/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 298ms/step - accuracy: 0.8743 - loss: 0.3466 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3699
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[1m 74/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 298ms/step - accuracy: 0.8752 - loss: 0.3449 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3704
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[1m 75/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 298ms/step - accuracy: 0.8760 - loss: 0.3432 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3710
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[1m 76/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 298ms/step - accuracy: 0.8768 - loss: 0.3415 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3716
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[1m 77/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m12s[0m 298ms/step - accuracy: 0.8776 - loss: 0.3399 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3721
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[1m 78/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 298ms/step - accuracy: 0.8784 - loss: 0.3383 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3727
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[1m 79/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 298ms/step - accuracy: 0.8792 - loss: 0.3367 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3732
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[1m 80/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 298ms/step - accuracy: 0.8800 - loss: 0.3352 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3737
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[1m 81/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 298ms/step - accuracy: 0.8807 - loss: 0.3336 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3743
|
||
[1m 82/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 298ms/step - accuracy: 0.8815 - loss: 0.3321 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3748
|
||
[1m 83/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 298ms/step - accuracy: 0.8822 - loss: 0.3307 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3753
|
||
[1m 84/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 298ms/step - accuracy: 0.8829 - loss: 0.3292 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3758
|
||
[1m 85/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 298ms/step - accuracy: 0.8836 - loss: 0.3278 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3763
|
||
[1m 86/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 298ms/step - accuracy: 0.8843 - loss: 0.3264 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3768
|
||
[1m 87/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 298ms/step - accuracy: 0.8850 - loss: 0.3250 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3773
|
||
[1m 88/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 298ms/step - accuracy: 0.8856 - loss: 0.3236 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3777
|
||
[1m 89/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 298ms/step - accuracy: 0.8863 - loss: 0.3223 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3782
|
||
[1m 90/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 298ms/step - accuracy: 0.8869 - loss: 0.3209 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3787
|
||
[1m 91/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 298ms/step - accuracy: 0.8875 - loss: 0.3196 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3791
|
||
[1m 92/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 298ms/step - accuracy: 0.8882 - loss: 0.3183 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3796
|
||
[1m 93/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 298ms/step - accuracy: 0.8888 - loss: 0.3170 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3801
|
||
[1m 94/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 298ms/step - accuracy: 0.8894 - loss: 0.3158 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3805
|
||
[1m 95/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 298ms/step - accuracy: 0.8900 - loss: 0.3145 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3809
|
||
[1m 96/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m7s[0m 298ms/step - accuracy: 0.8905 - loss: 0.3133 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3814
|
||
[1m 97/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 298ms/step - accuracy: 0.8911 - loss: 0.3121 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3818
|
||
[1m 98/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 298ms/step - accuracy: 0.8917 - loss: 0.3109 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3822
|
||
[1m 99/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 298ms/step - accuracy: 0.8922 - loss: 0.3097 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3826
|
||
[1m100/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m5s[0m 298ms/step - accuracy: 0.8928 - loss: 0.3086 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3831
|
||
[1m101/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m5s[0m 298ms/step - accuracy: 0.8933 - loss: 0.3074 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3835
|
||
[1m102/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 298ms/step - accuracy: 0.8938 - loss: 0.3063 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3839
|
||
[1m103/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 298ms/step - accuracy: 0.8943 - loss: 0.3052 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3843
|
||
[1m104/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 298ms/step - accuracy: 0.8948 - loss: 0.3040 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3847
|
||
[1m105/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 298ms/step - accuracy: 0.8954 - loss: 0.3030 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3851
|
||
[1m106/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 298ms/step - accuracy: 0.8958 - loss: 0.3019 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3855
|
||
[1m107/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m3s[0m 298ms/step - accuracy: 0.8963 - loss: 0.3008 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3859
|
||
[1m108/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 298ms/step - accuracy: 0.8968 - loss: 0.2997 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3862
|
||
[1m109/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 298ms/step - accuracy: 0.8973 - loss: 0.2987 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3866
|
||
[1m110/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 298ms/step - accuracy: 0.8978 - loss: 0.2977 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3870
|
||
[1m111/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 298ms/step - accuracy: 0.8982 - loss: 0.2967 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3874
|
||
[1m112/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 298ms/step - accuracy: 0.8987 - loss: 0.2957 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3877
|
||
[1m113/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 298ms/step - accuracy: 0.8991 - loss: 0.2947 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3881
|
||
[1m114/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 298ms/step - accuracy: 0.8996 - loss: 0.2937 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3884
|
||
[1m115/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 298ms/step - accuracy: 0.9000 - loss: 0.2927 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3888
|
||
[1m116/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 298ms/step - accuracy: 0.9004 - loss: 0.2917 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3891
|
||
[1m117/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 298ms/step - accuracy: 0.9009 - loss: 0.2908 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3895
|
||
[1m118/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 298ms/step - accuracy: 0.9013 - loss: 0.2898 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3898
|
||
[1m119/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 298ms/step - accuracy: 0.9017 - loss: 0.2889 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3902
|
||
[1m120/120[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 298ms/step - accuracy: 0.9021 - loss: 0.2880 - mean_absolute_error: 0.5000 - mean_squared_error: 0.3905
|
||
[1m120/120[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m41s[0m 302ms/step - accuracy: 0.9507 - loss: 0.1784 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4307 - val_accuracy: 0.9608 - val_loss: 0.2002 - val_mean_absolute_error: 0.5000 - val_mean_squared_error: 0.4492
|
||
Epoch 2/10
|
||
|
||
[1m 1/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 299ms/step - accuracy: 0.9698 - loss: 0.1099 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4630
|
||
[1m 2/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 302ms/step - accuracy: 0.9690 - loss: 0.1118 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4635
|
||
[1m 3/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 299ms/step - accuracy: 0.9692 - loss: 0.1111 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4638
|
||
[1m 4/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 299ms/step - accuracy: 0.9699 - loss: 0.1089 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4643
|
||
[1m 5/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 299ms/step - accuracy: 0.9704 - loss: 0.1073 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4646
|
||
[1m 6/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 300ms/step - accuracy: 0.9708 - loss: 0.1061 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4649
|
||
[1m 7/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 299ms/step - accuracy: 0.9711 - loss: 0.1050 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4650
|
||
[1m 8/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 299ms/step - accuracy: 0.9715 - loss: 0.1039 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4652
|
||
[1m 9/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 299ms/step - accuracy: 0.9718 - loss: 0.1030 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4654
|
||
[1m 10/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 299ms/step - accuracy: 0.9720 - loss: 0.1024 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4656
|
||
[1m 11/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 299ms/step - accuracy: 0.9721 - loss: 0.1021 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4656
|
||
[1m 12/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 299ms/step - accuracy: 0.9722 - loss: 0.1018 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4657
|
||
[1m 13/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 298ms/step - accuracy: 0.9722 - loss: 0.1016 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4658
|
||
[1m 14/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 298ms/step - accuracy: 0.9722 - loss: 0.1015 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4658
|
||
[1m 15/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 298ms/step - accuracy: 0.9722 - loss: 0.1014 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4659
|
||
[1m 16/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 298ms/step - accuracy: 0.9723 - loss: 0.1012 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4659
|
||
[1m 17/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m30s[0m 298ms/step - accuracy: 0.9723 - loss: 0.1010 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4660
|
||
[1m 18/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 298ms/step - accuracy: 0.9724 - loss: 0.1009 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4660
|
||
[1m 19/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 298ms/step - accuracy: 0.9724 - loss: 0.1007 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4660
|
||
[1m 20/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 298ms/step - accuracy: 0.9725 - loss: 0.1005 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4660
|
||
[1m 21/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 298ms/step - accuracy: 0.9725 - loss: 0.1003 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4661
|
||
[1m 22/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 298ms/step - accuracy: 0.9726 - loss: 0.1002 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4661
|
||
[1m 23/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m28s[0m 298ms/step - accuracy: 0.9726 - loss: 0.1000 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4661
|
||
[1m 24/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 298ms/step - accuracy: 0.9726 - loss: 0.0999 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4662
|
||
[1m 25/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 298ms/step - accuracy: 0.9727 - loss: 0.0998 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4662
|
||
[1m 26/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 298ms/step - accuracy: 0.9727 - loss: 0.0998 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4662
|
||
[1m 27/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 299ms/step - accuracy: 0.9727 - loss: 0.0997 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4662
|
||
[1m 28/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 299ms/step - accuracy: 0.9727 - loss: 0.0996 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4663
|
||
[1m 29/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 299ms/step - accuracy: 0.9727 - loss: 0.0995 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4663
|
||
[1m 30/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 299ms/step - accuracy: 0.9728 - loss: 0.0994 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4663
|
||
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[1m 33/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 299ms/step - accuracy: 0.9728 - loss: 0.0991 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4664
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[1m 34/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 299ms/step - accuracy: 0.9729 - loss: 0.0990 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4664
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[1m 35/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 299ms/step - accuracy: 0.9729 - loss: 0.0989 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4665
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[1m 36/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m25s[0m 299ms/step - accuracy: 0.9729 - loss: 0.0988 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4665
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[1m 37/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 299ms/step - accuracy: 0.9729 - loss: 0.0987 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4665
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[1m 38/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 299ms/step - accuracy: 0.9729 - loss: 0.0986 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4665
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[1m 39/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 299ms/step - accuracy: 0.9729 - loss: 0.0986 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4666
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[1m 40/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m23s[0m 299ms/step - accuracy: 0.9729 - loss: 0.0985 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4666
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[1m 41/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m23s[0m 299ms/step - accuracy: 0.9730 - loss: 0.0984 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4666
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[1m 42/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m23s[0m 299ms/step - accuracy: 0.9730 - loss: 0.0983 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4666
|
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[1m 43/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m23s[0m 299ms/step - accuracy: 0.9730 - loss: 0.0983 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4667
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[1m 44/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 300ms/step - accuracy: 0.9730 - loss: 0.0982 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4667
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[1m 45/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 300ms/step - accuracy: 0.9730 - loss: 0.0981 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4667
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[1m 46/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 300ms/step - accuracy: 0.9730 - loss: 0.0980 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4668
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[1m 47/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9731 - loss: 0.0979 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4668
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[1m 48/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9731 - loss: 0.0978 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4668
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[1m 49/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9731 - loss: 0.0978 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4668
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[1m 50/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9731 - loss: 0.0977 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4668
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[1m 51/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9731 - loss: 0.0976 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4669
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[1m 52/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9731 - loss: 0.0976 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4669
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[1m 53/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9731 - loss: 0.0975 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4669
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[1m 54/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 300ms/step - accuracy: 0.9731 - loss: 0.0974 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4669
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[1m 55/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 300ms/step - accuracy: 0.9732 - loss: 0.0974 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4670
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[1m 56/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 300ms/step - accuracy: 0.9732 - loss: 0.0973 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4670
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[1m 57/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9732 - loss: 0.0972 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4670
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[1m 58/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9732 - loss: 0.0971 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4671
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[1m 59/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9732 - loss: 0.0971 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4671
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[1m 60/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9732 - loss: 0.0970 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4671
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[1m 61/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9732 - loss: 0.0969 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4671
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[1m 62/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9733 - loss: 0.0968 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4671
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[1m 63/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9733 - loss: 0.0968 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4672
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[1m 64/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 300ms/step - accuracy: 0.9733 - loss: 0.0967 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4672
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[1m 65/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 300ms/step - accuracy: 0.9733 - loss: 0.0967 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4672
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[1m 66/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m16s[0m 300ms/step - accuracy: 0.9733 - loss: 0.0966 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4672
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[1m 67/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 300ms/step - accuracy: 0.9733 - loss: 0.0965 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4673
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[1m 68/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 300ms/step - accuracy: 0.9733 - loss: 0.0964 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4673
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[1m 69/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 300ms/step - accuracy: 0.9733 - loss: 0.0964 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4673
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[1m 70/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m14s[0m 300ms/step - accuracy: 0.9734 - loss: 0.0963 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4673
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[1m 71/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m14s[0m 300ms/step - accuracy: 0.9734 - loss: 0.0962 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4674
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[1m 72/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 300ms/step - accuracy: 0.9734 - loss: 0.0962 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4674
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[1m 73/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 300ms/step - accuracy: 0.9734 - loss: 0.0961 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4674
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[1m 74/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 300ms/step - accuracy: 0.9734 - loss: 0.0960 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4674
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[1m 75/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 300ms/step - accuracy: 0.9734 - loss: 0.0960 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4675
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[1m 76/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 300ms/step - accuracy: 0.9734 - loss: 0.0959 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4675
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[1m 77/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m12s[0m 300ms/step - accuracy: 0.9734 - loss: 0.0959 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4675
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[1m 78/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 300ms/step - accuracy: 0.9734 - loss: 0.0958 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4675
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[1m 79/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 300ms/step - accuracy: 0.9735 - loss: 0.0957 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4676
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[1m 80/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 300ms/step - accuracy: 0.9735 - loss: 0.0957 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4676
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[1m 81/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 300ms/step - accuracy: 0.9735 - loss: 0.0956 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4676
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[1m 82/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 300ms/step - accuracy: 0.9735 - loss: 0.0955 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4676
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[1m 83/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 300ms/step - accuracy: 0.9735 - loss: 0.0955 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4677
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[1m 84/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 300ms/step - accuracy: 0.9735 - loss: 0.0954 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4677
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[1m 85/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 300ms/step - accuracy: 0.9735 - loss: 0.0954 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4677
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[1m 86/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 300ms/step - accuracy: 0.9735 - loss: 0.0953 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4677
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[1m 87/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 300ms/step - accuracy: 0.9735 - loss: 0.0953 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4677
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[1m 88/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 300ms/step - accuracy: 0.9736 - loss: 0.0952 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4678
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[1m 89/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 300ms/step - accuracy: 0.9736 - loss: 0.0951 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4678
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[1m 90/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 300ms/step - accuracy: 0.9736 - loss: 0.0951 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4678
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[1m 91/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 300ms/step - accuracy: 0.9736 - loss: 0.0950 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4678
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[1m 92/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 300ms/step - accuracy: 0.9736 - loss: 0.0950 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4679
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[1m 93/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 299ms/step - accuracy: 0.9736 - loss: 0.0949 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4679
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[1m 94/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 299ms/step - accuracy: 0.9736 - loss: 0.0948 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4679
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[1m 95/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 299ms/step - accuracy: 0.9736 - loss: 0.0948 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4679
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[1m 96/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m7s[0m 299ms/step - accuracy: 0.9736 - loss: 0.0947 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4679
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[1m 97/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 299ms/step - accuracy: 0.9736 - loss: 0.0947 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4680
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[1m 98/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 299ms/step - accuracy: 0.9737 - loss: 0.0946 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4680
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[1m 99/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 299ms/step - accuracy: 0.9737 - loss: 0.0946 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4680
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[1m100/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m5s[0m 299ms/step - accuracy: 0.9737 - loss: 0.0945 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4680
|
||
[1m101/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m5s[0m 299ms/step - accuracy: 0.9737 - loss: 0.0945 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4680
|
||
[1m102/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 299ms/step - accuracy: 0.9737 - loss: 0.0944 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4681
|
||
[1m103/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 299ms/step - accuracy: 0.9737 - loss: 0.0944 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4681
|
||
[1m104/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 299ms/step - accuracy: 0.9737 - loss: 0.0943 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4681
|
||
[1m105/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 299ms/step - accuracy: 0.9737 - loss: 0.0943 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4681
|
||
[1m106/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 299ms/step - accuracy: 0.9737 - loss: 0.0942 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4682
|
||
[1m107/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m3s[0m 299ms/step - accuracy: 0.9737 - loss: 0.0941 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4682
|
||
[1m108/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 299ms/step - accuracy: 0.9737 - loss: 0.0941 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4682
|
||
[1m109/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 299ms/step - accuracy: 0.9738 - loss: 0.0940 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4682
|
||
[1m110/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 299ms/step - accuracy: 0.9738 - loss: 0.0940 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4682
|
||
[1m111/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 299ms/step - accuracy: 0.9738 - loss: 0.0939 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4683
|
||
[1m112/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 299ms/step - accuracy: 0.9738 - loss: 0.0939 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4683
|
||
[1m113/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 299ms/step - accuracy: 0.9738 - loss: 0.0938 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4683
|
||
[1m114/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 299ms/step - accuracy: 0.9738 - loss: 0.0938 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4683
|
||
[1m115/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 299ms/step - accuracy: 0.9738 - loss: 0.0937 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4683
|
||
[1m116/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 299ms/step - accuracy: 0.9738 - loss: 0.0937 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4684
|
||
[1m117/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 299ms/step - accuracy: 0.9738 - loss: 0.0936 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4684
|
||
[1m118/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 299ms/step - accuracy: 0.9738 - loss: 0.0936 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4684
|
||
[1m119/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 299ms/step - accuracy: 0.9738 - loss: 0.0935 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4684
|
||
[1m120/120[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 299ms/step - accuracy: 0.9739 - loss: 0.0935 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4684
|
||
[1m120/120[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m36s[0m 303ms/step - accuracy: 0.9749 - loss: 0.0875 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4709 - val_accuracy: 0.9609 - val_loss: 0.1615 - val_mean_absolute_error: 0.5000 - val_mean_squared_error: 0.4827
|
||
Epoch 3/10
|
||
|
||
[1m 1/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m36s[0m 303ms/step - accuracy: 0.9726 - loss: 0.0886 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4741
|
||
[1m 2/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 300ms/step - accuracy: 0.9723 - loss: 0.0902 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4745
|
||
[1m 3/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 300ms/step - accuracy: 0.9725 - loss: 0.0900 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4746
|
||
[1m 4/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 300ms/step - accuracy: 0.9732 - loss: 0.0882 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4749
|
||
[1m 5/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 300ms/step - accuracy: 0.9736 - loss: 0.0869 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4752
|
||
[1m 6/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 300ms/step - accuracy: 0.9741 - loss: 0.0858 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4753
|
||
[1m 7/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 300ms/step - accuracy: 0.9744 - loss: 0.0849 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4753
|
||
[1m 8/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 300ms/step - accuracy: 0.9747 - loss: 0.0841 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4754
|
||
[1m 9/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 300ms/step - accuracy: 0.9749 - loss: 0.0833 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 10/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 300ms/step - accuracy: 0.9751 - loss: 0.0829 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 11/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 301ms/step - accuracy: 0.9752 - loss: 0.0826 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 12/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 301ms/step - accuracy: 0.9753 - loss: 0.0824 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 13/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 301ms/step - accuracy: 0.9753 - loss: 0.0822 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 14/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 301ms/step - accuracy: 0.9753 - loss: 0.0822 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 15/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 301ms/step - accuracy: 0.9753 - loss: 0.0822 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 16/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 301ms/step - accuracy: 0.9754 - loss: 0.0821 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 17/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m30s[0m 301ms/step - accuracy: 0.9754 - loss: 0.0820 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 18/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 301ms/step - accuracy: 0.9755 - loss: 0.0819 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 19/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 301ms/step - accuracy: 0.9755 - loss: 0.0818 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 20/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 301ms/step - accuracy: 0.9755 - loss: 0.0817 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 21/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 301ms/step - accuracy: 0.9756 - loss: 0.0815 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 22/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 301ms/step - accuracy: 0.9756 - loss: 0.0814 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 23/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 301ms/step - accuracy: 0.9756 - loss: 0.0813 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 24/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 301ms/step - accuracy: 0.9757 - loss: 0.0812 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 25/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 301ms/step - accuracy: 0.9757 - loss: 0.0812 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 26/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 301ms/step - accuracy: 0.9757 - loss: 0.0811 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 27/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 301ms/step - accuracy: 0.9757 - loss: 0.0811 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 28/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 301ms/step - accuracy: 0.9757 - loss: 0.0810 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 29/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 301ms/step - accuracy: 0.9757 - loss: 0.0810 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 30/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m27s[0m 301ms/step - accuracy: 0.9758 - loss: 0.0809 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 31/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 301ms/step - accuracy: 0.9758 - loss: 0.0808 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 32/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 301ms/step - accuracy: 0.9758 - loss: 0.0807 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 33/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 301ms/step - accuracy: 0.9758 - loss: 0.0807 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 34/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 301ms/step - accuracy: 0.9758 - loss: 0.0806 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 35/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 301ms/step - accuracy: 0.9758 - loss: 0.0805 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4755
|
||
[1m 36/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m25s[0m 301ms/step - accuracy: 0.9759 - loss: 0.0804 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4756
|
||
[1m 37/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 300ms/step - accuracy: 0.9759 - loss: 0.0804 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4756
|
||
[1m 38/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 300ms/step - accuracy: 0.9759 - loss: 0.0803 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4756
|
||
[1m 39/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 300ms/step - accuracy: 0.9759 - loss: 0.0803 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4756
|
||
[1m 40/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 300ms/step - accuracy: 0.9759 - loss: 0.0802 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4756
|
||
[1m 41/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m23s[0m 300ms/step - accuracy: 0.9759 - loss: 0.0802 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4756
|
||
[1m 42/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m23s[0m 300ms/step - accuracy: 0.9759 - loss: 0.0801 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4756
|
||
[1m 43/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m23s[0m 300ms/step - accuracy: 0.9759 - loss: 0.0801 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4756
|
||
[1m 44/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 300ms/step - accuracy: 0.9760 - loss: 0.0800 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4756
|
||
[1m 45/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 300ms/step - accuracy: 0.9760 - loss: 0.0799 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4756
|
||
[1m 46/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 300ms/step - accuracy: 0.9760 - loss: 0.0799 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4757
|
||
[1m 47/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9760 - loss: 0.0798 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4757
|
||
[1m 48/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9760 - loss: 0.0797 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4757
|
||
[1m 49/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9760 - loss: 0.0797 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4757
|
||
[1m 50/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9760 - loss: 0.0796 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4757
|
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[1m 51/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9761 - loss: 0.0796 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4757
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[1m 52/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9761 - loss: 0.0795 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4757
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[1m 53/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9761 - loss: 0.0795 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4757
|
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[1m 54/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 300ms/step - accuracy: 0.9761 - loss: 0.0794 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4757
|
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[1m 55/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 300ms/step - accuracy: 0.9761 - loss: 0.0793 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4758
|
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[1m 56/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 300ms/step - accuracy: 0.9761 - loss: 0.0793 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4758
|
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[1m 57/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9761 - loss: 0.0792 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4758
|
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[1m 58/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9761 - loss: 0.0792 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4758
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[1m 59/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9761 - loss: 0.0791 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4758
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[1m 60/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9762 - loss: 0.0790 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4758
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[1m 61/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9762 - loss: 0.0790 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4758
|
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[1m 62/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9762 - loss: 0.0789 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4758
|
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[1m 63/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 299ms/step - accuracy: 0.9762 - loss: 0.0789 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4759
|
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[1m 64/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 299ms/step - accuracy: 0.9762 - loss: 0.0788 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4759
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[1m 65/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 299ms/step - accuracy: 0.9762 - loss: 0.0788 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4759
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[1m 66/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m16s[0m 299ms/step - accuracy: 0.9762 - loss: 0.0787 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4759
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[1m 67/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 299ms/step - accuracy: 0.9762 - loss: 0.0787 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4759
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[1m 68/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 299ms/step - accuracy: 0.9762 - loss: 0.0786 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4759
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[1m 69/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 299ms/step - accuracy: 0.9763 - loss: 0.0786 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4759
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[1m 70/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m14s[0m 299ms/step - accuracy: 0.9763 - loss: 0.0785 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4759
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[1m 71/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m14s[0m 299ms/step - accuracy: 0.9763 - loss: 0.0785 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4760
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[1m 72/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 299ms/step - accuracy: 0.9763 - loss: 0.0784 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4760
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[1m 73/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 299ms/step - accuracy: 0.9763 - loss: 0.0784 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4760
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[1m 74/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 299ms/step - accuracy: 0.9763 - loss: 0.0784 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4760
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[1m 75/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 299ms/step - accuracy: 0.9763 - loss: 0.0783 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4760
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[1m 76/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 299ms/step - accuracy: 0.9763 - loss: 0.0783 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4760
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[1m 77/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m12s[0m 299ms/step - accuracy: 0.9763 - loss: 0.0782 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4760
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[1m 78/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 299ms/step - accuracy: 0.9763 - loss: 0.0782 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4760
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[1m 79/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 299ms/step - accuracy: 0.9763 - loss: 0.0781 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4760
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[1m 80/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 299ms/step - accuracy: 0.9763 - loss: 0.0781 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4761
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[1m 81/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 299ms/step - accuracy: 0.9764 - loss: 0.0780 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4761
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[1m 82/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 299ms/step - accuracy: 0.9764 - loss: 0.0780 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4761
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[1m 83/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 299ms/step - accuracy: 0.9764 - loss: 0.0780 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4761
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[1m 84/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 299ms/step - accuracy: 0.9764 - loss: 0.0779 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4761
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[1m 85/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 299ms/step - accuracy: 0.9764 - loss: 0.0779 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4761
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[1m 86/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 299ms/step - accuracy: 0.9764 - loss: 0.0778 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4761
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[1m 87/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 299ms/step - accuracy: 0.9764 - loss: 0.0778 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4761
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[1m 88/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 299ms/step - accuracy: 0.9764 - loss: 0.0778 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4761
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[1m 89/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 299ms/step - accuracy: 0.9764 - loss: 0.0777 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4762
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[1m 90/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 299ms/step - accuracy: 0.9764 - loss: 0.0777 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4762
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[1m 91/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 299ms/step - accuracy: 0.9764 - loss: 0.0776 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4762
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[1m 92/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 299ms/step - accuracy: 0.9764 - loss: 0.0776 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4762
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[1m 93/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 299ms/step - accuracy: 0.9764 - loss: 0.0775 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4762
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[1m 94/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 299ms/step - accuracy: 0.9765 - loss: 0.0775 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4762
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[1m 95/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 299ms/step - accuracy: 0.9765 - loss: 0.0775 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4762
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[1m 96/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m7s[0m 299ms/step - accuracy: 0.9765 - loss: 0.0774 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4762
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[1m 97/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 299ms/step - accuracy: 0.9765 - loss: 0.0774 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4762
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[1m 98/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 299ms/step - accuracy: 0.9765 - loss: 0.0774 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4763
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[1m 99/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 299ms/step - accuracy: 0.9765 - loss: 0.0773 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4763
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[1m100/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m5s[0m 299ms/step - accuracy: 0.9765 - loss: 0.0773 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4763
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[1m101/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m5s[0m 299ms/step - accuracy: 0.9765 - loss: 0.0772 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4763
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[1m102/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 299ms/step - accuracy: 0.9765 - loss: 0.0772 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4763
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[1m103/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 299ms/step - accuracy: 0.9765 - loss: 0.0772 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4763
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[1m104/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 299ms/step - accuracy: 0.9765 - loss: 0.0771 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4763
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[1m105/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 299ms/step - accuracy: 0.9765 - loss: 0.0771 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4763
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[1m106/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 299ms/step - accuracy: 0.9765 - loss: 0.0771 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4763
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[1m107/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m3s[0m 299ms/step - accuracy: 0.9765 - loss: 0.0770 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4764
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[1m108/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 299ms/step - accuracy: 0.9766 - loss: 0.0770 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4764
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[1m109/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 299ms/step - accuracy: 0.9766 - loss: 0.0769 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4764
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[1m110/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 299ms/step - accuracy: 0.9766 - loss: 0.0769 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4764
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[1m111/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 299ms/step - accuracy: 0.9766 - loss: 0.0769 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4764
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[1m112/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 299ms/step - accuracy: 0.9766 - loss: 0.0768 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4764
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[1m113/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 299ms/step - accuracy: 0.9766 - loss: 0.0768 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4764
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[1m114/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 299ms/step - accuracy: 0.9766 - loss: 0.0768 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4764
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[1m115/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 299ms/step - accuracy: 0.9766 - loss: 0.0767 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4764
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[1m116/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 299ms/step - accuracy: 0.9766 - loss: 0.0767 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4764
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[1m117/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 299ms/step - accuracy: 0.9766 - loss: 0.0767 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4765
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[1m118/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 299ms/step - accuracy: 0.9766 - loss: 0.0766 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4765
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[1m119/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 299ms/step - accuracy: 0.9766 - loss: 0.0766 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4765
|
||
[1m120/120[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 299ms/step - accuracy: 0.9766 - loss: 0.0766 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4765
|
||
[1m120/120[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m36s[0m 303ms/step - accuracy: 0.9774 - loss: 0.0724 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4777 - val_accuracy: 0.9609 - val_loss: 0.1614 - val_mean_absolute_error: 0.5000 - val_mean_squared_error: 0.4883
|
||
Epoch 4/10
|
||
|
||
[1m 1/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m36s[0m 303ms/step - accuracy: 0.9745 - loss: 0.0749 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4777
|
||
[1m 2/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 300ms/step - accuracy: 0.9742 - loss: 0.0765 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4781
|
||
[1m 3/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 301ms/step - accuracy: 0.9743 - loss: 0.0765 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4783
|
||
[1m 4/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 301ms/step - accuracy: 0.9750 - loss: 0.0747 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4787
|
||
[1m 5/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 300ms/step - accuracy: 0.9755 - loss: 0.0734 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4789
|
||
[1m 6/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 300ms/step - accuracy: 0.9759 - loss: 0.0723 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4791
|
||
[1m 7/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 301ms/step - accuracy: 0.9762 - loss: 0.0714 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4792
|
||
[1m 8/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 300ms/step - accuracy: 0.9766 - loss: 0.0705 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4793
|
||
[1m 9/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 300ms/step - accuracy: 0.9768 - loss: 0.0697 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4795
|
||
[1m 10/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 300ms/step - accuracy: 0.9771 - loss: 0.0691 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4796
|
||
[1m 11/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 300ms/step - accuracy: 0.9772 - loss: 0.0688 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4796
|
||
[1m 12/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 300ms/step - accuracy: 0.9773 - loss: 0.0685 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4797
|
||
[1m 13/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 300ms/step - accuracy: 0.9774 - loss: 0.0682 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4797
|
||
[1m 14/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 300ms/step - accuracy: 0.9775 - loss: 0.0681 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4797
|
||
[1m 15/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 300ms/step - accuracy: 0.9775 - loss: 0.0680 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4797
|
||
[1m 16/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 300ms/step - accuracy: 0.9776 - loss: 0.0679 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4797
|
||
[1m 17/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m30s[0m 300ms/step - accuracy: 0.9776 - loss: 0.0677 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4797
|
||
[1m 18/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 300ms/step - accuracy: 0.9777 - loss: 0.0676 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4798
|
||
[1m 19/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 300ms/step - accuracy: 0.9777 - loss: 0.0674 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4798
|
||
[1m 20/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 300ms/step - accuracy: 0.9778 - loss: 0.0673 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4798
|
||
[1m 21/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 300ms/step - accuracy: 0.9778 - loss: 0.0671 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4798
|
||
[1m 22/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 300ms/step - accuracy: 0.9779 - loss: 0.0669 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4799
|
||
[1m 23/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 301ms/step - accuracy: 0.9779 - loss: 0.0668 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4799
|
||
[1m 24/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 301ms/step - accuracy: 0.9780 - loss: 0.0667 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4799
|
||
[1m 25/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 301ms/step - accuracy: 0.9780 - loss: 0.0666 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4799
|
||
[1m 26/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 301ms/step - accuracy: 0.9780 - loss: 0.0666 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4799
|
||
[1m 27/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 301ms/step - accuracy: 0.9780 - loss: 0.0665 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4799
|
||
[1m 28/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 301ms/step - accuracy: 0.9781 - loss: 0.0664 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4799
|
||
[1m 29/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 300ms/step - accuracy: 0.9781 - loss: 0.0664 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4799
|
||
[1m 30/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m27s[0m 300ms/step - accuracy: 0.9781 - loss: 0.0663 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4799
|
||
[1m 31/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 300ms/step - accuracy: 0.9781 - loss: 0.0662 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4799
|
||
[1m 32/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 300ms/step - accuracy: 0.9782 - loss: 0.0661 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4799
|
||
[1m 33/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 300ms/step - accuracy: 0.9782 - loss: 0.0661 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4800
|
||
[1m 34/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 300ms/step - accuracy: 0.9782 - loss: 0.0660 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4800
|
||
[1m 35/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 300ms/step - accuracy: 0.9782 - loss: 0.0659 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4800
|
||
[1m 36/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m25s[0m 300ms/step - accuracy: 0.9783 - loss: 0.0659 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4800
|
||
[1m 37/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 300ms/step - accuracy: 0.9783 - loss: 0.0658 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4800
|
||
[1m 38/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 299ms/step - accuracy: 0.9783 - loss: 0.0658 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4800
|
||
[1m 39/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 299ms/step - accuracy: 0.9783 - loss: 0.0658 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4800
|
||
[1m 40/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m23s[0m 299ms/step - accuracy: 0.9783 - loss: 0.0657 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4800
|
||
[1m 41/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m23s[0m 299ms/step - accuracy: 0.9783 - loss: 0.0657 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4800
|
||
[1m 42/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m23s[0m 299ms/step - accuracy: 0.9783 - loss: 0.0656 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4800
|
||
[1m 43/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m23s[0m 299ms/step - accuracy: 0.9783 - loss: 0.0656 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4801
|
||
[1m 44/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 299ms/step - accuracy: 0.9784 - loss: 0.0655 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4801
|
||
[1m 45/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 299ms/step - accuracy: 0.9784 - loss: 0.0655 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4801
|
||
[1m 46/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 300ms/step - accuracy: 0.9784 - loss: 0.0654 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4801
|
||
[1m 47/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9784 - loss: 0.0654 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4801
|
||
[1m 48/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9784 - loss: 0.0654 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4801
|
||
[1m 49/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9784 - loss: 0.0653 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4801
|
||
[1m 50/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9784 - loss: 0.0653 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4801
|
||
[1m 51/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9784 - loss: 0.0653 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4801
|
||
[1m 52/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9785 - loss: 0.0652 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4801
|
||
[1m 53/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9785 - loss: 0.0652 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4801
|
||
[1m 54/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 300ms/step - accuracy: 0.9785 - loss: 0.0652 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4801
|
||
[1m 55/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 300ms/step - accuracy: 0.9785 - loss: 0.0652 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4802
|
||
[1m 56/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 300ms/step - accuracy: 0.9785 - loss: 0.0651 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4802
|
||
[1m 57/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9785 - loss: 0.0651 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4802
|
||
[1m 58/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9785 - loss: 0.0651 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4802
|
||
[1m 59/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9785 - loss: 0.0650 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4802
|
||
[1m 60/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9785 - loss: 0.0650 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4802
|
||
[1m 61/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9785 - loss: 0.0650 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4802
|
||
[1m 62/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9785 - loss: 0.0650 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4802
|
||
[1m 63/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9785 - loss: 0.0650 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4802
|
||
[1m 64/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 300ms/step - accuracy: 0.9786 - loss: 0.0649 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4802
|
||
[1m 65/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 300ms/step - accuracy: 0.9786 - loss: 0.0649 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4802
|
||
[1m 66/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m16s[0m 300ms/step - accuracy: 0.9786 - loss: 0.0649 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4802
|
||
[1m 67/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 300ms/step - accuracy: 0.9786 - loss: 0.0649 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4802
|
||
[1m 68/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 300ms/step - accuracy: 0.9786 - loss: 0.0648 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4802
|
||
[1m 69/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 300ms/step - accuracy: 0.9786 - loss: 0.0648 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4803
|
||
[1m 70/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 300ms/step - accuracy: 0.9786 - loss: 0.0648 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4803
|
||
[1m 71/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m14s[0m 300ms/step - accuracy: 0.9786 - loss: 0.0648 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4803
|
||
[1m 72/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 300ms/step - accuracy: 0.9786 - loss: 0.0648 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4803
|
||
[1m 73/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 300ms/step - accuracy: 0.9786 - loss: 0.0647 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4803
|
||
[1m 74/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 300ms/step - accuracy: 0.9786 - loss: 0.0647 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4803
|
||
[1m 75/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 300ms/step - accuracy: 0.9786 - loss: 0.0647 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4803
|
||
[1m 76/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 300ms/step - accuracy: 0.9786 - loss: 0.0647 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4803
|
||
[1m 77/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m12s[0m 300ms/step - accuracy: 0.9786 - loss: 0.0647 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4803
|
||
[1m 78/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 300ms/step - accuracy: 0.9786 - loss: 0.0647 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4803
|
||
[1m 79/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 300ms/step - accuracy: 0.9786 - loss: 0.0647 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4803
|
||
[1m 80/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 300ms/step - accuracy: 0.9786 - loss: 0.0646 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4803
|
||
[1m 81/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0646 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4803
|
||
[1m 82/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0646 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4803
|
||
[1m 83/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0646 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4803
|
||
[1m 84/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0646 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4803
|
||
[1m 85/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0645 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4803
|
||
[1m 86/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0645 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m 87/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0645 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m 88/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0645 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m 89/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0645 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m 90/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m9s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0645 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m 91/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0645 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m 92/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0644 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m 93/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0644 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m 94/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0644 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m 95/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0644 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m 96/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m7s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0644 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m 97/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0644 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m 98/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0643 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m 99/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0643 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m100/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0643 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m101/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m5s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0643 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m102/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0643 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m103/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0643 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m104/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 300ms/step - accuracy: 0.9788 - loss: 0.0642 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m105/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 300ms/step - accuracy: 0.9788 - loss: 0.0642 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4805
|
||
[1m106/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 300ms/step - accuracy: 0.9788 - loss: 0.0642 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4805
|
||
[1m107/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m3s[0m 300ms/step - accuracy: 0.9788 - loss: 0.0642 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4805
|
||
[1m108/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 300ms/step - accuracy: 0.9788 - loss: 0.0642 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4805
|
||
[1m109/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 300ms/step - accuracy: 0.9788 - loss: 0.0642 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4805
|
||
[1m110/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 300ms/step - accuracy: 0.9788 - loss: 0.0642 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4805
|
||
[1m111/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 300ms/step - accuracy: 0.9788 - loss: 0.0641 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4805
|
||
[1m112/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 300ms/step - accuracy: 0.9788 - loss: 0.0641 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4805
|
||
[1m113/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 300ms/step - accuracy: 0.9788 - loss: 0.0641 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4805
|
||
[1m114/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 300ms/step - accuracy: 0.9788 - loss: 0.0641 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4805
|
||
[1m115/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 300ms/step - accuracy: 0.9788 - loss: 0.0641 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4805
|
||
[1m116/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 300ms/step - accuracy: 0.9788 - loss: 0.0641 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4805
|
||
[1m117/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 300ms/step - accuracy: 0.9788 - loss: 0.0640 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4805
|
||
[1m118/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 300ms/step - accuracy: 0.9788 - loss: 0.0640 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4805
|
||
[1m119/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 300ms/step - accuracy: 0.9788 - loss: 0.0640 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4805
|
||
[1m120/120[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 300ms/step - accuracy: 0.9788 - loss: 0.0640 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4805
|
||
[1m120/120[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m36s[0m 304ms/step - accuracy: 0.9793 - loss: 0.0621 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4812 - val_accuracy: 0.9709 - val_loss: 0.1186 - val_mean_absolute_error: 0.5000 - val_mean_squared_error: 0.4897
|
||
Epoch 5/10
|
||
|
||
[1m 1/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 298ms/step - accuracy: 0.9753 - loss: 0.0682 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4777
|
||
[1m 2/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 299ms/step - accuracy: 0.9751 - loss: 0.0692 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4783
|
||
[1m 3/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 297ms/step - accuracy: 0.9754 - loss: 0.0688 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4787
|
||
[1m 4/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 297ms/step - accuracy: 0.9761 - loss: 0.0671 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4794
|
||
[1m 5/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 297ms/step - accuracy: 0.9766 - loss: 0.0659 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4798
|
||
[1m 6/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 297ms/step - accuracy: 0.9770 - loss: 0.0649 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4802
|
||
[1m 7/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 297ms/step - accuracy: 0.9774 - loss: 0.0641 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m 8/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 298ms/step - accuracy: 0.9777 - loss: 0.0632 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4806
|
||
[1m 9/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 298ms/step - accuracy: 0.9780 - loss: 0.0625 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4808
|
||
[1m 10/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 299ms/step - accuracy: 0.9782 - loss: 0.0621 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4810
|
||
[1m 11/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 299ms/step - accuracy: 0.9784 - loss: 0.0618 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4811
|
||
[1m 12/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 299ms/step - accuracy: 0.9785 - loss: 0.0616 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4812
|
||
[1m 13/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 299ms/step - accuracy: 0.9786 - loss: 0.0614 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4812
|
||
[1m 14/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 299ms/step - accuracy: 0.9786 - loss: 0.0613 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4813
|
||
[1m 15/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 299ms/step - accuracy: 0.9786 - loss: 0.0613 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4813
|
||
[1m 16/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0612 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4814
|
||
[1m 17/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m30s[0m 300ms/step - accuracy: 0.9787 - loss: 0.0612 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4814
|
||
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|
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[1m 19/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 300ms/step - accuracy: 0.9788 - loss: 0.0610 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4815
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[1m 20/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 300ms/step - accuracy: 0.9789 - loss: 0.0609 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4815
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[1m 21/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 300ms/step - accuracy: 0.9789 - loss: 0.0608 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4815
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[1m 22/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 300ms/step - accuracy: 0.9790 - loss: 0.0607 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4816
|
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[1m 23/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 300ms/step - accuracy: 0.9790 - loss: 0.0606 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4816
|
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[1m 24/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 300ms/step - accuracy: 0.9790 - loss: 0.0605 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4816
|
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[1m 25/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 300ms/step - accuracy: 0.9791 - loss: 0.0605 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4816
|
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[1m 26/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 300ms/step - accuracy: 0.9791 - loss: 0.0605 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4816
|
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[1m 27/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 300ms/step - accuracy: 0.9791 - loss: 0.0605 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4816
|
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[1m 28/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 300ms/step - accuracy: 0.9791 - loss: 0.0604 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4817
|
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[1m 29/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 300ms/step - accuracy: 0.9791 - loss: 0.0604 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4817
|
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[1m 30/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m27s[0m 300ms/step - accuracy: 0.9791 - loss: 0.0604 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4817
|
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[1m 31/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 300ms/step - accuracy: 0.9792 - loss: 0.0603 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4817
|
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[1m 32/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 300ms/step - accuracy: 0.9792 - loss: 0.0603 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4817
|
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[1m 33/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 300ms/step - accuracy: 0.9792 - loss: 0.0602 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4817
|
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[1m 34/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 300ms/step - accuracy: 0.9792 - loss: 0.0602 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4818
|
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[1m 35/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 300ms/step - accuracy: 0.9792 - loss: 0.0601 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4818
|
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[1m 36/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m25s[0m 300ms/step - accuracy: 0.9793 - loss: 0.0601 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4818
|
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[1m 37/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 300ms/step - accuracy: 0.9793 - loss: 0.0601 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4818
|
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[1m 38/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 300ms/step - accuracy: 0.9793 - loss: 0.0601 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4818
|
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[1m 39/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 300ms/step - accuracy: 0.9793 - loss: 0.0600 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4818
|
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[1m 40/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 300ms/step - accuracy: 0.9793 - loss: 0.0600 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4818
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[1m 41/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m23s[0m 300ms/step - accuracy: 0.9793 - loss: 0.0600 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4818
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[1m 42/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m23s[0m 300ms/step - accuracy: 0.9793 - loss: 0.0600 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4818
|
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[1m 43/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m23s[0m 300ms/step - accuracy: 0.9793 - loss: 0.0599 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4818
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[1m 44/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 300ms/step - accuracy: 0.9794 - loss: 0.0599 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4819
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[1m 45/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 300ms/step - accuracy: 0.9794 - loss: 0.0599 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4819
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[1m 46/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 300ms/step - accuracy: 0.9794 - loss: 0.0598 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4819
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[1m 47/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9794 - loss: 0.0598 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4819
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[1m 48/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9794 - loss: 0.0598 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4819
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[1m 49/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9794 - loss: 0.0597 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4819
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[1m 50/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9794 - loss: 0.0597 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4819
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[1m 51/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9794 - loss: 0.0597 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4819
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[1m 52/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9794 - loss: 0.0597 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4819
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[1m 53/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9795 - loss: 0.0597 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4820
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[1m 54/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 300ms/step - accuracy: 0.9795 - loss: 0.0597 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4820
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[1m 55/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 300ms/step - accuracy: 0.9795 - loss: 0.0596 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4820
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[1m 56/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 300ms/step - accuracy: 0.9795 - loss: 0.0596 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4820
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[1m 57/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9795 - loss: 0.0596 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4820
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[1m 58/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9795 - loss: 0.0595 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4820
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[1m 59/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9795 - loss: 0.0595 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4820
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[1m 60/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9795 - loss: 0.0595 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4820
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[1m 61/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9795 - loss: 0.0595 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4820
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[1m 62/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9795 - loss: 0.0595 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4820
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[1m 63/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9795 - loss: 0.0594 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4820
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[1m 64/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 300ms/step - accuracy: 0.9795 - loss: 0.0594 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4820
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[1m 65/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 300ms/step - accuracy: 0.9796 - loss: 0.0594 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4820
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[1m 66/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m16s[0m 300ms/step - accuracy: 0.9796 - loss: 0.0594 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4821
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[1m 67/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 300ms/step - accuracy: 0.9796 - loss: 0.0594 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4821
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[1m 68/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 300ms/step - accuracy: 0.9796 - loss: 0.0593 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4821
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[1m 69/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 300ms/step - accuracy: 0.9796 - loss: 0.0593 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4821
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[1m 70/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 300ms/step - accuracy: 0.9796 - loss: 0.0593 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4821
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[1m 71/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m14s[0m 300ms/step - accuracy: 0.9796 - loss: 0.0593 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4821
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[1m 72/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 300ms/step - accuracy: 0.9796 - loss: 0.0593 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4821
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[1m 73/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 300ms/step - accuracy: 0.9796 - loss: 0.0592 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4821
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[1m 74/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 300ms/step - accuracy: 0.9796 - loss: 0.0592 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4821
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[1m 75/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 300ms/step - accuracy: 0.9796 - loss: 0.0592 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4821
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[1m 76/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 300ms/step - accuracy: 0.9796 - loss: 0.0592 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4821
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[1m 77/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m12s[0m 300ms/step - accuracy: 0.9796 - loss: 0.0592 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4821
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[1m 78/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 300ms/step - accuracy: 0.9796 - loss: 0.0592 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4821
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[1m 79/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 300ms/step - accuracy: 0.9797 - loss: 0.0591 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4821
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[1m 80/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 300ms/step - accuracy: 0.9797 - loss: 0.0591 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4822
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[1m 81/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 300ms/step - accuracy: 0.9797 - loss: 0.0591 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4822
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[1m 82/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 300ms/step - accuracy: 0.9797 - loss: 0.0591 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4822
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[1m 83/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 300ms/step - accuracy: 0.9797 - loss: 0.0591 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4822
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[1m 84/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 300ms/step - accuracy: 0.9797 - loss: 0.0590 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4822
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[1m 85/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 300ms/step - accuracy: 0.9797 - loss: 0.0590 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4822
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[1m 86/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 300ms/step - accuracy: 0.9797 - loss: 0.0590 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4822
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[1m 87/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 300ms/step - accuracy: 0.9797 - loss: 0.0590 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4822
|
||
[1m 88/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 300ms/step - accuracy: 0.9797 - loss: 0.0590 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4822
|
||
[1m 89/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 300ms/step - accuracy: 0.9797 - loss: 0.0589 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4822
|
||
[1m 90/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m9s[0m 300ms/step - accuracy: 0.9797 - loss: 0.0589 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4822
|
||
[1m 91/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 300ms/step - accuracy: 0.9797 - loss: 0.0589 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4822
|
||
[1m 92/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 300ms/step - accuracy: 0.9797 - loss: 0.0589 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4822
|
||
[1m 93/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 300ms/step - accuracy: 0.9797 - loss: 0.0589 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4822
|
||
[1m 94/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 300ms/step - accuracy: 0.9797 - loss: 0.0589 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4822
|
||
[1m 95/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 300ms/step - accuracy: 0.9797 - loss: 0.0588 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4822
|
||
[1m 96/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m7s[0m 300ms/step - accuracy: 0.9798 - loss: 0.0588 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m 97/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 300ms/step - accuracy: 0.9798 - loss: 0.0588 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m 98/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 300ms/step - accuracy: 0.9798 - loss: 0.0588 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m 99/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 300ms/step - accuracy: 0.9798 - loss: 0.0588 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m100/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 300ms/step - accuracy: 0.9798 - loss: 0.0588 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m101/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m5s[0m 300ms/step - accuracy: 0.9798 - loss: 0.0588 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m102/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 300ms/step - accuracy: 0.9798 - loss: 0.0588 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m103/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 300ms/step - accuracy: 0.9798 - loss: 0.0587 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m104/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 300ms/step - accuracy: 0.9798 - loss: 0.0587 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m105/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 300ms/step - accuracy: 0.9798 - loss: 0.0587 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m106/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 300ms/step - accuracy: 0.9798 - loss: 0.0587 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m107/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m3s[0m 300ms/step - accuracy: 0.9798 - loss: 0.0587 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m108/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 301ms/step - accuracy: 0.9798 - loss: 0.0587 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m109/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 301ms/step - accuracy: 0.9798 - loss: 0.0587 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m110/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 301ms/step - accuracy: 0.9798 - loss: 0.0587 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m111/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 301ms/step - accuracy: 0.9798 - loss: 0.0587 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m112/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 301ms/step - accuracy: 0.9798 - loss: 0.0587 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m113/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 301ms/step - accuracy: 0.9798 - loss: 0.0586 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m114/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 301ms/step - accuracy: 0.9798 - loss: 0.0586 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m115/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 301ms/step - accuracy: 0.9798 - loss: 0.0586 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m116/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 301ms/step - accuracy: 0.9798 - loss: 0.0586 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m117/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 301ms/step - accuracy: 0.9798 - loss: 0.0586 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4824
|
||
[1m118/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 301ms/step - accuracy: 0.9798 - loss: 0.0586 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4824
|
||
[1m119/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 301ms/step - accuracy: 0.9798 - loss: 0.0586 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4824
|
||
[1m120/120[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 301ms/step - accuracy: 0.9798 - loss: 0.0586 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4824
|
||
[1m120/120[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m37s[0m 305ms/step - accuracy: 0.9802 - loss: 0.0578 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4828 - val_accuracy: 0.9744 - val_loss: 0.0919 - val_mean_absolute_error: 0.5000 - val_mean_squared_error: 0.4884
|
||
Epoch 6/10
|
||
|
||
[1m 1/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 302ms/step - accuracy: 0.9761 - loss: 0.0668 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4800
|
||
[1m 2/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 302ms/step - accuracy: 0.9758 - loss: 0.0680 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4803
|
||
[1m 3/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 301ms/step - accuracy: 0.9760 - loss: 0.0677 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4804
|
||
[1m 4/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 301ms/step - accuracy: 0.9767 - loss: 0.0661 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4808
|
||
[1m 5/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 301ms/step - accuracy: 0.9772 - loss: 0.0650 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4810
|
||
[1m 6/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 301ms/step - accuracy: 0.9775 - loss: 0.0641 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4812
|
||
[1m 7/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 301ms/step - accuracy: 0.9778 - loss: 0.0634 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4814
|
||
[1m 8/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 301ms/step - accuracy: 0.9782 - loss: 0.0626 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4816
|
||
[1m 9/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 301ms/step - accuracy: 0.9784 - loss: 0.0619 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4817
|
||
[1m 10/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 301ms/step - accuracy: 0.9786 - loss: 0.0614 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4819
|
||
[1m 11/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 301ms/step - accuracy: 0.9788 - loss: 0.0611 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4820
|
||
[1m 12/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 301ms/step - accuracy: 0.9789 - loss: 0.0608 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4821
|
||
[1m 13/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 301ms/step - accuracy: 0.9790 - loss: 0.0606 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4821
|
||
[1m 14/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 301ms/step - accuracy: 0.9790 - loss: 0.0605 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4822
|
||
[1m 15/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 301ms/step - accuracy: 0.9790 - loss: 0.0604 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4822
|
||
[1m 16/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 301ms/step - accuracy: 0.9791 - loss: 0.0603 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m 17/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m30s[0m 300ms/step - accuracy: 0.9791 - loss: 0.0601 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m 18/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 300ms/step - accuracy: 0.9792 - loss: 0.0600 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4823
|
||
[1m 19/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 300ms/step - accuracy: 0.9792 - loss: 0.0598 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4824
|
||
[1m 20/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 300ms/step - accuracy: 0.9793 - loss: 0.0597 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4824
|
||
[1m 21/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 300ms/step - accuracy: 0.9794 - loss: 0.0595 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4825
|
||
[1m 22/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 300ms/step - accuracy: 0.9794 - loss: 0.0594 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4825
|
||
[1m 23/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 300ms/step - accuracy: 0.9795 - loss: 0.0592 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4825
|
||
[1m 24/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 300ms/step - accuracy: 0.9795 - loss: 0.0591 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4826
|
||
[1m 25/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 300ms/step - accuracy: 0.9795 - loss: 0.0590 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4826
|
||
[1m 26/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 301ms/step - accuracy: 0.9796 - loss: 0.0589 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4826
|
||
[1m 27/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 301ms/step - accuracy: 0.9796 - loss: 0.0589 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4826
|
||
[1m 28/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 301ms/step - accuracy: 0.9796 - loss: 0.0588 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4826
|
||
[1m 29/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 301ms/step - accuracy: 0.9796 - loss: 0.0587 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4827
|
||
[1m 30/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m27s[0m 301ms/step - accuracy: 0.9797 - loss: 0.0586 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4827
|
||
[1m 31/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 301ms/step - accuracy: 0.9797 - loss: 0.0585 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4827
|
||
[1m 32/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 301ms/step - accuracy: 0.9797 - loss: 0.0584 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4827
|
||
[1m 33/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 301ms/step - accuracy: 0.9798 - loss: 0.0583 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4827
|
||
[1m 34/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 301ms/step - accuracy: 0.9798 - loss: 0.0582 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4828
|
||
[1m 35/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 301ms/step - accuracy: 0.9798 - loss: 0.0582 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4828
|
||
[1m 36/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m25s[0m 301ms/step - accuracy: 0.9798 - loss: 0.0581 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4828
|
||
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[1m 38/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 300ms/step - accuracy: 0.9799 - loss: 0.0579 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4828
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[1m 39/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 300ms/step - accuracy: 0.9799 - loss: 0.0579 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4828
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[1m 40/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 300ms/step - accuracy: 0.9799 - loss: 0.0578 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4829
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[1m 41/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m23s[0m 300ms/step - accuracy: 0.9799 - loss: 0.0577 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4829
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[1m 42/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m23s[0m 300ms/step - accuracy: 0.9800 - loss: 0.0577 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4829
|
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[1m 43/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m23s[0m 300ms/step - accuracy: 0.9800 - loss: 0.0576 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4829
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[1m 44/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 300ms/step - accuracy: 0.9800 - loss: 0.0575 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4829
|
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[1m 45/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 300ms/step - accuracy: 0.9800 - loss: 0.0575 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4829
|
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[1m 46/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 300ms/step - accuracy: 0.9800 - loss: 0.0574 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4830
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[1m 47/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9801 - loss: 0.0573 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4830
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[1m 48/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9801 - loss: 0.0573 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4830
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[1m 49/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9801 - loss: 0.0572 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4830
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[1m 50/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9801 - loss: 0.0572 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4830
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[1m 51/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9801 - loss: 0.0571 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4830
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[1m 52/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9801 - loss: 0.0571 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4830
|
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[1m 53/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9801 - loss: 0.0570 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4830
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[1m 54/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 300ms/step - accuracy: 0.9802 - loss: 0.0569 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4831
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[1m 55/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 300ms/step - accuracy: 0.9802 - loss: 0.0569 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4831
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[1m 56/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 300ms/step - accuracy: 0.9802 - loss: 0.0568 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4831
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[1m 57/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9802 - loss: 0.0568 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4831
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[1m 58/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9802 - loss: 0.0567 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4831
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[1m 59/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9802 - loss: 0.0567 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4831
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[1m 60/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9803 - loss: 0.0566 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4831
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[1m 61/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9803 - loss: 0.0566 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4831
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[1m 62/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 301ms/step - accuracy: 0.9803 - loss: 0.0565 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4831
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[1m 63/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 301ms/step - accuracy: 0.9803 - loss: 0.0565 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4832
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[1m 64/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 301ms/step - accuracy: 0.9803 - loss: 0.0564 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4832
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[1m 65/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 301ms/step - accuracy: 0.9803 - loss: 0.0564 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4832
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[1m 66/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m16s[0m 301ms/step - accuracy: 0.9803 - loss: 0.0563 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4832
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[1m 67/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 301ms/step - accuracy: 0.9803 - loss: 0.0563 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4832
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[1m 68/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 301ms/step - accuracy: 0.9803 - loss: 0.0562 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4832
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[1m 69/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 301ms/step - accuracy: 0.9804 - loss: 0.0562 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4832
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[1m 70/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 301ms/step - accuracy: 0.9804 - loss: 0.0561 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4832
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[1m 71/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m14s[0m 301ms/step - accuracy: 0.9804 - loss: 0.0561 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4832
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[1m 72/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 301ms/step - accuracy: 0.9804 - loss: 0.0561 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4832
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[1m 73/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 301ms/step - accuracy: 0.9804 - loss: 0.0560 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4833
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[1m 74/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 301ms/step - accuracy: 0.9804 - loss: 0.0560 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4833
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[1m 75/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 301ms/step - accuracy: 0.9804 - loss: 0.0559 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4833
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[1m 76/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 301ms/step - accuracy: 0.9804 - loss: 0.0559 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4833
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[1m 77/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m12s[0m 301ms/step - accuracy: 0.9805 - loss: 0.0558 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4833
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[1m 78/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 301ms/step - accuracy: 0.9805 - loss: 0.0558 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4833
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[1m 79/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 301ms/step - accuracy: 0.9805 - loss: 0.0558 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4833
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[1m 80/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 301ms/step - accuracy: 0.9805 - loss: 0.0557 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4833
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[1m 81/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 301ms/step - accuracy: 0.9805 - loss: 0.0557 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4833
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[1m 82/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 301ms/step - accuracy: 0.9805 - loss: 0.0556 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4833
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[1m 83/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 301ms/step - accuracy: 0.9805 - loss: 0.0556 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4833
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[1m 84/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 301ms/step - accuracy: 0.9805 - loss: 0.0556 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4834
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[1m 85/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 301ms/step - accuracy: 0.9805 - loss: 0.0555 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4834
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[1m 86/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 301ms/step - accuracy: 0.9805 - loss: 0.0555 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4834
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[1m 87/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 301ms/step - accuracy: 0.9805 - loss: 0.0555 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4834
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[1m 88/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 301ms/step - accuracy: 0.9806 - loss: 0.0554 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4834
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[1m 89/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 301ms/step - accuracy: 0.9806 - loss: 0.0554 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4834
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[1m 90/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m9s[0m 301ms/step - accuracy: 0.9806 - loss: 0.0554 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4834
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[1m 91/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 301ms/step - accuracy: 0.9806 - loss: 0.0553 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4834
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[1m 92/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 301ms/step - accuracy: 0.9806 - loss: 0.0553 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4834
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[1m 93/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 301ms/step - accuracy: 0.9806 - loss: 0.0553 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4834
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[1m 94/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 301ms/step - accuracy: 0.9806 - loss: 0.0552 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4834
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[1m 95/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 301ms/step - accuracy: 0.9806 - loss: 0.0552 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4834
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[1m 96/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m7s[0m 301ms/step - accuracy: 0.9806 - loss: 0.0552 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4835
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[1m 97/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 301ms/step - accuracy: 0.9806 - loss: 0.0551 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4835
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[1m 98/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 301ms/step - accuracy: 0.9806 - loss: 0.0551 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4835
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[1m 99/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 301ms/step - accuracy: 0.9806 - loss: 0.0551 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4835
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[1m100/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 301ms/step - accuracy: 0.9807 - loss: 0.0550 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4835
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[1m101/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m5s[0m 301ms/step - accuracy: 0.9807 - loss: 0.0550 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4835
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[1m102/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 301ms/step - accuracy: 0.9807 - loss: 0.0550 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4835
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[1m103/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 301ms/step - accuracy: 0.9807 - loss: 0.0549 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4835
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[1m104/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 301ms/step - accuracy: 0.9807 - loss: 0.0549 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4835
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[1m105/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 301ms/step - accuracy: 0.9807 - loss: 0.0549 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4835
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[1m106/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 301ms/step - accuracy: 0.9807 - loss: 0.0548 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4835
|
||
[1m107/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m3s[0m 301ms/step - accuracy: 0.9807 - loss: 0.0548 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4835
|
||
[1m108/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 301ms/step - accuracy: 0.9807 - loss: 0.0548 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4835
|
||
[1m109/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 301ms/step - accuracy: 0.9807 - loss: 0.0548 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4835
|
||
[1m110/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 301ms/step - accuracy: 0.9807 - loss: 0.0547 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4836
|
||
[1m111/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 301ms/step - accuracy: 0.9807 - loss: 0.0547 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4836
|
||
[1m112/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 301ms/step - accuracy: 0.9807 - loss: 0.0547 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4836
|
||
[1m113/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 301ms/step - accuracy: 0.9807 - loss: 0.0547 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4836
|
||
[1m114/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 301ms/step - accuracy: 0.9807 - loss: 0.0546 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4836
|
||
[1m115/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 301ms/step - accuracy: 0.9808 - loss: 0.0546 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4836
|
||
[1m116/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 301ms/step - accuracy: 0.9808 - loss: 0.0546 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4836
|
||
[1m117/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 301ms/step - accuracy: 0.9808 - loss: 0.0545 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4836
|
||
[1m118/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 301ms/step - accuracy: 0.9808 - loss: 0.0545 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4836
|
||
[1m119/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 301ms/step - accuracy: 0.9808 - loss: 0.0545 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4836
|
||
[1m120/120[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 301ms/step - accuracy: 0.9808 - loss: 0.0545 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4836
|
||
[1m120/120[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m37s[0m 305ms/step - accuracy: 0.9815 - loss: 0.0513 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4844 - val_accuracy: 0.9770 - val_loss: 0.0748 - val_mean_absolute_error: 0.5000 - val_mean_squared_error: 0.4897
|
||
Epoch 7/10
|
||
|
||
[1m 1/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 302ms/step - accuracy: 0.9785 - loss: 0.0566 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4835
|
||
[1m 2/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 300ms/step - accuracy: 0.9781 - loss: 0.0576 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4835
|
||
[1m 3/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 300ms/step - accuracy: 0.9783 - loss: 0.0572 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4836
|
||
[1m 4/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 301ms/step - accuracy: 0.9789 - loss: 0.0557 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4839
|
||
[1m 5/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 301ms/step - accuracy: 0.9794 - loss: 0.0546 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4841
|
||
[1m 6/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 301ms/step - accuracy: 0.9797 - loss: 0.0538 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4842
|
||
[1m 7/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 301ms/step - accuracy: 0.9800 - loss: 0.0531 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4843
|
||
[1m 8/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 301ms/step - accuracy: 0.9803 - loss: 0.0524 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4844
|
||
[1m 9/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 301ms/step - accuracy: 0.9805 - loss: 0.0518 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4845
|
||
[1m 10/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 301ms/step - accuracy: 0.9807 - loss: 0.0514 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4846
|
||
[1m 11/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 301ms/step - accuracy: 0.9808 - loss: 0.0511 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4847
|
||
[1m 12/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 301ms/step - accuracy: 0.9810 - loss: 0.0508 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4848
|
||
[1m 13/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 301ms/step - accuracy: 0.9810 - loss: 0.0507 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4848
|
||
[1m 14/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 301ms/step - accuracy: 0.9811 - loss: 0.0506 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4848
|
||
[1m 15/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 301ms/step - accuracy: 0.9811 - loss: 0.0505 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4848
|
||
[1m 16/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 301ms/step - accuracy: 0.9811 - loss: 0.0504 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4849
|
||
[1m 17/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m30s[0m 301ms/step - accuracy: 0.9812 - loss: 0.0503 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4849
|
||
[1m 18/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 301ms/step - accuracy: 0.9812 - loss: 0.0502 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4849
|
||
[1m 19/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 301ms/step - accuracy: 0.9813 - loss: 0.0500 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4849
|
||
[1m 20/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 301ms/step - accuracy: 0.9813 - loss: 0.0499 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4849
|
||
[1m 21/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 301ms/step - accuracy: 0.9814 - loss: 0.0498 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4850
|
||
[1m 22/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 301ms/step - accuracy: 0.9814 - loss: 0.0497 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4850
|
||
[1m 23/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 301ms/step - accuracy: 0.9814 - loss: 0.0496 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4850
|
||
[1m 24/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 301ms/step - accuracy: 0.9815 - loss: 0.0495 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4850
|
||
[1m 25/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 301ms/step - accuracy: 0.9815 - loss: 0.0494 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4850
|
||
[1m 26/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 301ms/step - accuracy: 0.9815 - loss: 0.0494 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4851
|
||
[1m 27/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 301ms/step - accuracy: 0.9815 - loss: 0.0493 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4851
|
||
[1m 28/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 301ms/step - accuracy: 0.9816 - loss: 0.0493 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4851
|
||
[1m 29/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 301ms/step - accuracy: 0.9816 - loss: 0.0492 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4851
|
||
[1m 30/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m27s[0m 301ms/step - accuracy: 0.9816 - loss: 0.0491 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4851
|
||
[1m 31/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 301ms/step - accuracy: 0.9816 - loss: 0.0491 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4851
|
||
[1m 32/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 301ms/step - accuracy: 0.9816 - loss: 0.0490 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4851
|
||
[1m 33/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 301ms/step - accuracy: 0.9817 - loss: 0.0490 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4851
|
||
[1m 34/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 301ms/step - accuracy: 0.9817 - loss: 0.0489 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4851
|
||
[1m 35/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 301ms/step - accuracy: 0.9817 - loss: 0.0488 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4852
|
||
[1m 36/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m25s[0m 301ms/step - accuracy: 0.9817 - loss: 0.0488 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4852
|
||
[1m 37/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 301ms/step - accuracy: 0.9817 - loss: 0.0487 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4852
|
||
[1m 38/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 301ms/step - accuracy: 0.9817 - loss: 0.0487 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4852
|
||
[1m 39/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 301ms/step - accuracy: 0.9818 - loss: 0.0487 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4852
|
||
[1m 40/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 301ms/step - accuracy: 0.9818 - loss: 0.0486 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4852
|
||
[1m 41/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m23s[0m 301ms/step - accuracy: 0.9818 - loss: 0.0486 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4852
|
||
[1m 42/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m23s[0m 301ms/step - accuracy: 0.9818 - loss: 0.0486 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4852
|
||
[1m 43/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m23s[0m 301ms/step - accuracy: 0.9818 - loss: 0.0485 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4852
|
||
[1m 44/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 301ms/step - accuracy: 0.9818 - loss: 0.0485 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4852
|
||
[1m 45/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 301ms/step - accuracy: 0.9818 - loss: 0.0484 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4852
|
||
[1m 46/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 301ms/step - accuracy: 0.9818 - loss: 0.0484 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4852
|
||
[1m 47/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m21s[0m 301ms/step - accuracy: 0.9819 - loss: 0.0484 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4853
|
||
[1m 48/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 301ms/step - accuracy: 0.9819 - loss: 0.0483 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4853
|
||
[1m 49/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 301ms/step - accuracy: 0.9819 - loss: 0.0483 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4853
|
||
[1m 50/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 301ms/step - accuracy: 0.9819 - loss: 0.0483 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4853
|
||
[1m 51/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 301ms/step - accuracy: 0.9819 - loss: 0.0483 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4853
|
||
[1m 52/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 301ms/step - accuracy: 0.9819 - loss: 0.0482 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4853
|
||
[1m 53/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 301ms/step - accuracy: 0.9819 - loss: 0.0482 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4853
|
||
[1m 54/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 301ms/step - accuracy: 0.9819 - loss: 0.0482 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4853
|
||
[1m 55/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 301ms/step - accuracy: 0.9819 - loss: 0.0481 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4853
|
||
[1m 56/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 301ms/step - accuracy: 0.9819 - loss: 0.0481 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4853
|
||
[1m 57/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 301ms/step - accuracy: 0.9819 - loss: 0.0481 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4853
|
||
[1m 58/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 301ms/step - accuracy: 0.9820 - loss: 0.0481 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4853
|
||
[1m 59/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 301ms/step - accuracy: 0.9820 - loss: 0.0480 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4853
|
||
[1m 60/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m18s[0m 301ms/step - accuracy: 0.9820 - loss: 0.0480 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4853
|
||
[1m 61/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 301ms/step - accuracy: 0.9820 - loss: 0.0480 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4853
|
||
[1m 62/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 301ms/step - accuracy: 0.9820 - loss: 0.0480 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4853
|
||
[1m 63/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 301ms/step - accuracy: 0.9820 - loss: 0.0479 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4853
|
||
[1m 64/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 301ms/step - accuracy: 0.9820 - loss: 0.0479 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 65/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 301ms/step - accuracy: 0.9820 - loss: 0.0479 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 66/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m16s[0m 301ms/step - accuracy: 0.9820 - loss: 0.0479 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 67/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 301ms/step - accuracy: 0.9820 - loss: 0.0479 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 68/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 301ms/step - accuracy: 0.9820 - loss: 0.0478 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 69/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 301ms/step - accuracy: 0.9820 - loss: 0.0478 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 70/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 301ms/step - accuracy: 0.9820 - loss: 0.0478 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 71/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m14s[0m 301ms/step - accuracy: 0.9820 - loss: 0.0478 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 72/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 301ms/step - accuracy: 0.9821 - loss: 0.0478 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 73/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 301ms/step - accuracy: 0.9821 - loss: 0.0477 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 74/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 301ms/step - accuracy: 0.9821 - loss: 0.0477 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 75/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 301ms/step - accuracy: 0.9821 - loss: 0.0477 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 76/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 301ms/step - accuracy: 0.9821 - loss: 0.0477 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 77/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m12s[0m 301ms/step - accuracy: 0.9821 - loss: 0.0477 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 78/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 301ms/step - accuracy: 0.9821 - loss: 0.0477 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 79/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 301ms/step - accuracy: 0.9821 - loss: 0.0477 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 80/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 301ms/step - accuracy: 0.9821 - loss: 0.0476 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 81/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 301ms/step - accuracy: 0.9821 - loss: 0.0476 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 82/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 301ms/step - accuracy: 0.9821 - loss: 0.0476 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 83/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 301ms/step - accuracy: 0.9821 - loss: 0.0476 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 84/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 301ms/step - accuracy: 0.9821 - loss: 0.0476 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 85/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 301ms/step - accuracy: 0.9821 - loss: 0.0476 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 86/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 301ms/step - accuracy: 0.9821 - loss: 0.0475 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4854
|
||
[1m 87/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 301ms/step - accuracy: 0.9821 - loss: 0.0475 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m 88/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 300ms/step - accuracy: 0.9821 - loss: 0.0475 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m 89/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 300ms/step - accuracy: 0.9821 - loss: 0.0475 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m 90/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m9s[0m 300ms/step - accuracy: 0.9821 - loss: 0.0475 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m 91/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 300ms/step - accuracy: 0.9821 - loss: 0.0475 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m 92/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 300ms/step - accuracy: 0.9821 - loss: 0.0475 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m 93/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 300ms/step - accuracy: 0.9821 - loss: 0.0475 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m 94/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 300ms/step - accuracy: 0.9821 - loss: 0.0475 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m 95/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 300ms/step - accuracy: 0.9821 - loss: 0.0474 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m 96/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m7s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0474 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m 97/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0474 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m 98/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0474 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m 99/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0474 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m100/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0474 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m101/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m5s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0474 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m102/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0474 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m103/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0474 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m104/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0474 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m105/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0473 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m106/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0473 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m107/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m3s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0473 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m108/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0473 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m109/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0473 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m110/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0473 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m111/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0473 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m112/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0473 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m113/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0473 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m114/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0473 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m115/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0472 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m116/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0472 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m117/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0472 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4855
|
||
[1m118/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0472 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4856
|
||
[1m119/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0472 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4856
|
||
[1m120/120[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 300ms/step - accuracy: 0.9822 - loss: 0.0472 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4856
|
||
[1m120/120[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m36s[0m 304ms/step - accuracy: 0.9826 - loss: 0.0461 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4859 - val_accuracy: 0.9773 - val_loss: 0.0708 - val_mean_absolute_error: 0.5000 - val_mean_squared_error: 0.4886
|
||
Epoch 8/10
|
||
|
||
[1m 1/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 299ms/step - accuracy: 0.9797 - loss: 0.0523 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4861
|
||
[1m 2/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 294ms/step - accuracy: 0.9793 - loss: 0.0529 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4858
|
||
[1m 3/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 296ms/step - accuracy: 0.9794 - loss: 0.0526 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4857
|
||
[1m 4/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 296ms/step - accuracy: 0.9799 - loss: 0.0514 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4858
|
||
[1m 5/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 296ms/step - accuracy: 0.9803 - loss: 0.0504 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4859
|
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[1m 6/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 296ms/step - accuracy: 0.9806 - loss: 0.0496 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4860
|
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[1m 7/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 296ms/step - accuracy: 0.9809 - loss: 0.0490 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4860
|
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[1m 8/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 296ms/step - accuracy: 0.9812 - loss: 0.0483 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4861
|
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[1m 9/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 296ms/step - accuracy: 0.9814 - loss: 0.0477 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4862
|
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[1m 10/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 296ms/step - accuracy: 0.9816 - loss: 0.0473 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4863
|
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[1m 11/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 296ms/step - accuracy: 0.9817 - loss: 0.0470 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4863
|
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[1m 12/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 296ms/step - accuracy: 0.9818 - loss: 0.0467 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4863
|
||
[1m 13/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 296ms/step - accuracy: 0.9819 - loss: 0.0465 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4863
|
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[1m 14/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 296ms/step - accuracy: 0.9819 - loss: 0.0464 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4864
|
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[1m 15/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 296ms/step - accuracy: 0.9820 - loss: 0.0463 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4864
|
||
[1m 16/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m30s[0m 296ms/step - accuracy: 0.9820 - loss: 0.0462 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4864
|
||
[1m 17/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m30s[0m 296ms/step - accuracy: 0.9821 - loss: 0.0461 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4864
|
||
[1m 18/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 296ms/step - accuracy: 0.9821 - loss: 0.0459 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4864
|
||
[1m 19/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 297ms/step - accuracy: 0.9822 - loss: 0.0458 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4864
|
||
[1m 20/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 297ms/step - accuracy: 0.9822 - loss: 0.0457 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4864
|
||
[1m 21/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 297ms/step - accuracy: 0.9823 - loss: 0.0456 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4864
|
||
[1m 22/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 297ms/step - accuracy: 0.9823 - loss: 0.0455 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4864
|
||
[1m 23/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m28s[0m 297ms/step - accuracy: 0.9823 - loss: 0.0454 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4864
|
||
[1m 24/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 298ms/step - accuracy: 0.9824 - loss: 0.0453 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4864
|
||
[1m 25/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 298ms/step - accuracy: 0.9824 - loss: 0.0452 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4864
|
||
[1m 26/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 298ms/step - accuracy: 0.9824 - loss: 0.0451 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4864
|
||
[1m 27/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 298ms/step - accuracy: 0.9825 - loss: 0.0451 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4864
|
||
[1m 28/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 298ms/step - accuracy: 0.9825 - loss: 0.0450 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4864
|
||
[1m 29/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 298ms/step - accuracy: 0.9825 - loss: 0.0450 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4864
|
||
[1m 30/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 298ms/step - accuracy: 0.9825 - loss: 0.0449 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4865
|
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[1m 31/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 299ms/step - accuracy: 0.9825 - loss: 0.0448 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4865
|
||
[1m 32/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 299ms/step - accuracy: 0.9826 - loss: 0.0448 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4865
|
||
[1m 33/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 299ms/step - accuracy: 0.9826 - loss: 0.0447 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4865
|
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[1m 34/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 299ms/step - accuracy: 0.9826 - loss: 0.0446 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4865
|
||
[1m 35/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 299ms/step - accuracy: 0.9826 - loss: 0.0446 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4865
|
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[1m 36/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m25s[0m 299ms/step - accuracy: 0.9827 - loss: 0.0445 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4865
|
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[1m 37/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 299ms/step - accuracy: 0.9827 - loss: 0.0445 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4865
|
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[1m 38/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 299ms/step - accuracy: 0.9827 - loss: 0.0444 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4865
|
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[1m 39/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 299ms/step - accuracy: 0.9827 - loss: 0.0444 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4865
|
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[1m 40/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m23s[0m 299ms/step - accuracy: 0.9827 - loss: 0.0444 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4865
|
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[1m 41/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m23s[0m 299ms/step - accuracy: 0.9827 - loss: 0.0443 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4865
|
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[1m 42/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m23s[0m 299ms/step - accuracy: 0.9828 - loss: 0.0443 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4865
|
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[1m 43/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m23s[0m 299ms/step - accuracy: 0.9828 - loss: 0.0442 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4865
|
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[1m 44/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 299ms/step - accuracy: 0.9828 - loss: 0.0442 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4865
|
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[1m 45/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 300ms/step - accuracy: 0.9828 - loss: 0.0441 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
|
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[1m 46/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 300ms/step - accuracy: 0.9828 - loss: 0.0441 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
|
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[1m 47/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9828 - loss: 0.0441 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
|
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[1m 48/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9828 - loss: 0.0440 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
|
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[1m 49/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 300ms/step - accuracy: 0.9829 - loss: 0.0440 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
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[1m 50/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9829 - loss: 0.0440 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
|
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[1m 51/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9829 - loss: 0.0440 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
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[1m 52/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9829 - loss: 0.0439 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
|
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[1m 53/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 300ms/step - accuracy: 0.9829 - loss: 0.0439 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
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[1m 54/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 300ms/step - accuracy: 0.9829 - loss: 0.0439 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
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[1m 55/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 300ms/step - accuracy: 0.9829 - loss: 0.0438 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
|
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[1m 56/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 300ms/step - accuracy: 0.9829 - loss: 0.0438 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
|
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[1m 57/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9829 - loss: 0.0438 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
|
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[1m 58/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9830 - loss: 0.0438 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
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[1m 59/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9830 - loss: 0.0437 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
|
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[1m 60/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m18s[0m 300ms/step - accuracy: 0.9830 - loss: 0.0437 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
|
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[1m 61/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9830 - loss: 0.0437 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
|
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[1m 62/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9830 - loss: 0.0437 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
|
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[1m 63/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9830 - loss: 0.0436 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
|
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[1m 64/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 300ms/step - accuracy: 0.9830 - loss: 0.0436 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
|
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[1m 65/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 300ms/step - accuracy: 0.9830 - loss: 0.0436 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
|
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[1m 66/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m16s[0m 300ms/step - accuracy: 0.9830 - loss: 0.0436 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
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[1m 67/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 300ms/step - accuracy: 0.9830 - loss: 0.0436 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
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[1m 68/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 300ms/step - accuracy: 0.9830 - loss: 0.0435 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
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[1m 69/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 300ms/step - accuracy: 0.9830 - loss: 0.0435 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
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[1m 70/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 300ms/step - accuracy: 0.9830 - loss: 0.0435 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
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[1m 71/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m14s[0m 300ms/step - accuracy: 0.9830 - loss: 0.0435 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
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[1m 72/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 300ms/step - accuracy: 0.9831 - loss: 0.0435 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
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[1m 73/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 300ms/step - accuracy: 0.9831 - loss: 0.0434 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
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[1m 74/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 300ms/step - accuracy: 0.9831 - loss: 0.0434 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 75/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 300ms/step - accuracy: 0.9831 - loss: 0.0434 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 76/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 300ms/step - accuracy: 0.9831 - loss: 0.0434 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 77/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m12s[0m 300ms/step - accuracy: 0.9831 - loss: 0.0434 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 78/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 300ms/step - accuracy: 0.9831 - loss: 0.0434 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 79/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 300ms/step - accuracy: 0.9831 - loss: 0.0433 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 80/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 301ms/step - accuracy: 0.9831 - loss: 0.0433 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 81/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 301ms/step - accuracy: 0.9831 - loss: 0.0433 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 82/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 301ms/step - accuracy: 0.9831 - loss: 0.0433 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 83/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 301ms/step - accuracy: 0.9831 - loss: 0.0433 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 84/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 301ms/step - accuracy: 0.9831 - loss: 0.0432 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 85/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 301ms/step - accuracy: 0.9831 - loss: 0.0432 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 86/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 301ms/step - accuracy: 0.9831 - loss: 0.0432 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 87/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 301ms/step - accuracy: 0.9831 - loss: 0.0432 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 88/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 301ms/step - accuracy: 0.9831 - loss: 0.0432 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 89/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 301ms/step - accuracy: 0.9831 - loss: 0.0432 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 90/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m9s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0432 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 91/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0431 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 92/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0431 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 93/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0431 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 94/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0431 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 95/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0431 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 96/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m7s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0431 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 97/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0430 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 98/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0430 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 99/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0430 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m100/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0430 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m101/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m5s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0430 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m102/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0430 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m103/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0430 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m104/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0429 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m105/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0429 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m106/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0429 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m107/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m3s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0429 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m108/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0429 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m109/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0429 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m110/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0429 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m111/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0428 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m112/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 301ms/step - accuracy: 0.9833 - loss: 0.0428 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m113/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 301ms/step - accuracy: 0.9833 - loss: 0.0428 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m114/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 301ms/step - accuracy: 0.9833 - loss: 0.0428 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m115/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 301ms/step - accuracy: 0.9833 - loss: 0.0428 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m116/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 301ms/step - accuracy: 0.9833 - loss: 0.0428 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m117/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 301ms/step - accuracy: 0.9833 - loss: 0.0428 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m118/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 301ms/step - accuracy: 0.9833 - loss: 0.0427 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m119/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 301ms/step - accuracy: 0.9833 - loss: 0.0427 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m120/120[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 301ms/step - accuracy: 0.9833 - loss: 0.0427 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m120/120[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m37s[0m 305ms/step - accuracy: 0.9837 - loss: 0.0412 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4871 - val_accuracy: 0.9755 - val_loss: 0.0712 - val_mean_absolute_error: 0.5000 - val_mean_squared_error: 0.4842
|
||
Epoch 9/10
|
||
|
||
[1m 1/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m36s[0m 307ms/step - accuracy: 0.9807 - loss: 0.0482 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4843
|
||
[1m 2/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 301ms/step - accuracy: 0.9804 - loss: 0.0484 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4844
|
||
[1m 3/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 301ms/step - accuracy: 0.9806 - loss: 0.0478 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4848
|
||
[1m 4/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 301ms/step - accuracy: 0.9811 - loss: 0.0465 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4853
|
||
[1m 5/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 301ms/step - accuracy: 0.9815 - loss: 0.0456 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4856
|
||
[1m 6/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 301ms/step - accuracy: 0.9818 - loss: 0.0449 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4859
|
||
[1m 7/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 301ms/step - accuracy: 0.9820 - loss: 0.0443 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4860
|
||
[1m 8/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 301ms/step - accuracy: 0.9823 - loss: 0.0437 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4862
|
||
[1m 9/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 301ms/step - accuracy: 0.9825 - loss: 0.0432 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4864
|
||
[1m 10/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 301ms/step - accuracy: 0.9827 - loss: 0.0428 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4865
|
||
[1m 11/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 301ms/step - accuracy: 0.9828 - loss: 0.0426 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4866
|
||
[1m 12/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 302ms/step - accuracy: 0.9829 - loss: 0.0423 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4867
|
||
[1m 13/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 301ms/step - accuracy: 0.9830 - loss: 0.0422 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m 14/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 301ms/step - accuracy: 0.9830 - loss: 0.0421 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m 15/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 301ms/step - accuracy: 0.9830 - loss: 0.0420 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m 16/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 301ms/step - accuracy: 0.9831 - loss: 0.0419 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4868
|
||
[1m 17/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 301ms/step - accuracy: 0.9831 - loss: 0.0418 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4869
|
||
[1m 18/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0418 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4869
|
||
[1m 19/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0417 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4869
|
||
[1m 20/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 301ms/step - accuracy: 0.9832 - loss: 0.0416 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4870
|
||
[1m 21/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 301ms/step - accuracy: 0.9833 - loss: 0.0415 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4870
|
||
[1m 22/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 301ms/step - accuracy: 0.9833 - loss: 0.0414 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4870
|
||
[1m 23/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 301ms/step - accuracy: 0.9833 - loss: 0.0413 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4871
|
||
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[1m 25/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 301ms/step - accuracy: 0.9834 - loss: 0.0412 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4871
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[1m 26/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 301ms/step - accuracy: 0.9834 - loss: 0.0412 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4871
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[1m 27/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 301ms/step - accuracy: 0.9834 - loss: 0.0411 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4871
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[1m 28/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 301ms/step - accuracy: 0.9834 - loss: 0.0411 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4871
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[1m 29/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 301ms/step - accuracy: 0.9835 - loss: 0.0410 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4872
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[1m 30/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m27s[0m 301ms/step - accuracy: 0.9835 - loss: 0.0410 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4872
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[1m 31/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 301ms/step - accuracy: 0.9835 - loss: 0.0410 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4872
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[1m 32/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 301ms/step - accuracy: 0.9835 - loss: 0.0409 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4872
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[1m 33/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 301ms/step - accuracy: 0.9835 - loss: 0.0409 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4872
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[1m 34/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 301ms/step - accuracy: 0.9836 - loss: 0.0408 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4872
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[1m 35/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 301ms/step - accuracy: 0.9836 - loss: 0.0408 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4872
|
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[1m 36/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m25s[0m 301ms/step - accuracy: 0.9836 - loss: 0.0407 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4873
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[1m 37/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m25s[0m 301ms/step - accuracy: 0.9836 - loss: 0.0407 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4873
|
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[1m 38/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 301ms/step - accuracy: 0.9836 - loss: 0.0407 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4873
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[1m 39/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 301ms/step - accuracy: 0.9836 - loss: 0.0407 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4873
|
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[1m 40/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 301ms/step - accuracy: 0.9836 - loss: 0.0406 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4873
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[1m 41/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m23s[0m 301ms/step - accuracy: 0.9836 - loss: 0.0406 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4873
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[1m 42/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m23s[0m 301ms/step - accuracy: 0.9836 - loss: 0.0406 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4873
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[1m 43/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m23s[0m 302ms/step - accuracy: 0.9837 - loss: 0.0405 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4873
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[1m 44/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 302ms/step - accuracy: 0.9837 - loss: 0.0405 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4873
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[1m 45/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 301ms/step - accuracy: 0.9837 - loss: 0.0405 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4873
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[1m 46/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 301ms/step - accuracy: 0.9837 - loss: 0.0404 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4873
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[1m 47/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 301ms/step - accuracy: 0.9837 - loss: 0.0404 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4874
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[1m 48/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 301ms/step - accuracy: 0.9837 - loss: 0.0404 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4874
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[1m 49/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 302ms/step - accuracy: 0.9837 - loss: 0.0403 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4874
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[1m 50/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 301ms/step - accuracy: 0.9837 - loss: 0.0403 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4874
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[1m 51/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 301ms/step - accuracy: 0.9838 - loss: 0.0403 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4874
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[1m 52/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 302ms/step - accuracy: 0.9838 - loss: 0.0403 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4874
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[1m 53/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 302ms/step - accuracy: 0.9838 - loss: 0.0403 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4874
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[1m 54/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 301ms/step - accuracy: 0.9838 - loss: 0.0402 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4874
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[1m 55/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 301ms/step - accuracy: 0.9838 - loss: 0.0402 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4874
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[1m 56/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 302ms/step - accuracy: 0.9838 - loss: 0.0402 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4874
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[1m 57/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 302ms/step - accuracy: 0.9838 - loss: 0.0402 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4874
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[1m 58/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 302ms/step - accuracy: 0.9838 - loss: 0.0401 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4874
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[1m 59/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 302ms/step - accuracy: 0.9838 - loss: 0.0401 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4874
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[1m 60/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m18s[0m 302ms/step - accuracy: 0.9838 - loss: 0.0401 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4874
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[1m 61/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 302ms/step - accuracy: 0.9838 - loss: 0.0401 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4875
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[1m 62/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 302ms/step - accuracy: 0.9839 - loss: 0.0400 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4875
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[1m 63/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 302ms/step - accuracy: 0.9839 - loss: 0.0400 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4875
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[1m 64/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 302ms/step - accuracy: 0.9839 - loss: 0.0400 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4875
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[1m 65/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 302ms/step - accuracy: 0.9839 - loss: 0.0400 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4875
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[1m 66/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m16s[0m 302ms/step - accuracy: 0.9839 - loss: 0.0400 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4875
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[1m 67/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 302ms/step - accuracy: 0.9839 - loss: 0.0399 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4875
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[1m 68/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 302ms/step - accuracy: 0.9839 - loss: 0.0399 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4875
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[1m 69/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 302ms/step - accuracy: 0.9839 - loss: 0.0399 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4875
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[1m 70/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 302ms/step - accuracy: 0.9839 - loss: 0.0399 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4875
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[1m 71/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m14s[0m 302ms/step - accuracy: 0.9839 - loss: 0.0398 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4875
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[1m 72/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 302ms/step - accuracy: 0.9839 - loss: 0.0398 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4875
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[1m 73/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 302ms/step - accuracy: 0.9839 - loss: 0.0398 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4875
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[1m 74/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 302ms/step - accuracy: 0.9839 - loss: 0.0398 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4875
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[1m 75/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 302ms/step - accuracy: 0.9840 - loss: 0.0398 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4875
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[1m 76/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 302ms/step - accuracy: 0.9840 - loss: 0.0397 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4875
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[1m 77/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m12s[0m 302ms/step - accuracy: 0.9840 - loss: 0.0397 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4875
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[1m 78/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 302ms/step - accuracy: 0.9840 - loss: 0.0397 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4875
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[1m 79/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 302ms/step - accuracy: 0.9840 - loss: 0.0397 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
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[1m 80/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 301ms/step - accuracy: 0.9840 - loss: 0.0397 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
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[1m 81/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 301ms/step - accuracy: 0.9840 - loss: 0.0397 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
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[1m 82/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 301ms/step - accuracy: 0.9840 - loss: 0.0396 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
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[1m 83/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 301ms/step - accuracy: 0.9840 - loss: 0.0396 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
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[1m 84/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 301ms/step - accuracy: 0.9840 - loss: 0.0396 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
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[1m 85/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 301ms/step - accuracy: 0.9840 - loss: 0.0396 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
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[1m 86/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 301ms/step - accuracy: 0.9840 - loss: 0.0396 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
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[1m 87/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 301ms/step - accuracy: 0.9840 - loss: 0.0396 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
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[1m 88/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 301ms/step - accuracy: 0.9840 - loss: 0.0395 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
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[1m 89/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 301ms/step - accuracy: 0.9840 - loss: 0.0395 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
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[1m 90/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m9s[0m 301ms/step - accuracy: 0.9840 - loss: 0.0395 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
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[1m 91/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 301ms/step - accuracy: 0.9841 - loss: 0.0395 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
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[1m 92/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 301ms/step - accuracy: 0.9841 - loss: 0.0395 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
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[1m 93/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 301ms/step - accuracy: 0.9841 - loss: 0.0395 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
|
||
[1m 94/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 301ms/step - accuracy: 0.9841 - loss: 0.0394 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
|
||
[1m 95/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 301ms/step - accuracy: 0.9841 - loss: 0.0394 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
|
||
[1m 96/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m7s[0m 301ms/step - accuracy: 0.9841 - loss: 0.0394 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
|
||
[1m 97/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 301ms/step - accuracy: 0.9841 - loss: 0.0394 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
|
||
[1m 98/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 301ms/step - accuracy: 0.9841 - loss: 0.0394 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
|
||
[1m 99/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 301ms/step - accuracy: 0.9841 - loss: 0.0394 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4876
|
||
[1m100/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 301ms/step - accuracy: 0.9841 - loss: 0.0393 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m101/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m5s[0m 301ms/step - accuracy: 0.9841 - loss: 0.0393 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m102/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 301ms/step - accuracy: 0.9841 - loss: 0.0393 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m103/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 301ms/step - accuracy: 0.9841 - loss: 0.0393 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m104/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 301ms/step - accuracy: 0.9841 - loss: 0.0393 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m105/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 301ms/step - accuracy: 0.9841 - loss: 0.0393 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m106/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 301ms/step - accuracy: 0.9841 - loss: 0.0393 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m107/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m3s[0m 301ms/step - accuracy: 0.9841 - loss: 0.0392 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m108/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 301ms/step - accuracy: 0.9841 - loss: 0.0392 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m109/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 301ms/step - accuracy: 0.9842 - loss: 0.0392 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m110/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 301ms/step - accuracy: 0.9842 - loss: 0.0392 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m111/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 301ms/step - accuracy: 0.9842 - loss: 0.0392 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m112/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 301ms/step - accuracy: 0.9842 - loss: 0.0392 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m113/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 301ms/step - accuracy: 0.9842 - loss: 0.0392 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m114/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 301ms/step - accuracy: 0.9842 - loss: 0.0391 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m115/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 301ms/step - accuracy: 0.9842 - loss: 0.0391 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m116/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 301ms/step - accuracy: 0.9842 - loss: 0.0391 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m117/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 301ms/step - accuracy: 0.9842 - loss: 0.0391 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m118/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 301ms/step - accuracy: 0.9842 - loss: 0.0391 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m119/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 301ms/step - accuracy: 0.9842 - loss: 0.0391 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m120/120[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 301ms/step - accuracy: 0.9842 - loss: 0.0391 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m120/120[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m37s[0m 305ms/step - accuracy: 0.9848 - loss: 0.0374 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4882 - val_accuracy: 0.9764 - val_loss: 0.0732 - val_mean_absolute_error: 0.5000 - val_mean_squared_error: 0.4888
|
||
Epoch 10/10
|
||
|
||
[1m 1/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m36s[0m 303ms/step - accuracy: 0.9827 - loss: 0.0410 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4880
|
||
[1m 2/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 301ms/step - accuracy: 0.9822 - loss: 0.0419 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m 3/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 299ms/step - accuracy: 0.9822 - loss: 0.0417 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4877
|
||
[1m 4/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 298ms/step - accuracy: 0.9826 - loss: 0.0408 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4879
|
||
[1m 5/120[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 298ms/step - accuracy: 0.9830 - loss: 0.0401 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4880
|
||
[1m 6/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 298ms/step - accuracy: 0.9832 - loss: 0.0396 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4881
|
||
[1m 7/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 297ms/step - accuracy: 0.9834 - loss: 0.0392 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4883
|
||
[1m 8/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 298ms/step - accuracy: 0.9836 - loss: 0.0388 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4884
|
||
[1m 9/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 298ms/step - accuracy: 0.9838 - loss: 0.0383 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4885
|
||
[1m 10/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 298ms/step - accuracy: 0.9840 - loss: 0.0380 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4885
|
||
[1m 11/120[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 299ms/step - accuracy: 0.9841 - loss: 0.0378 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4885
|
||
[1m 12/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 299ms/step - accuracy: 0.9842 - loss: 0.0377 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4886
|
||
[1m 13/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 298ms/step - accuracy: 0.9843 - loss: 0.0375 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4886
|
||
[1m 14/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 299ms/step - accuracy: 0.9843 - loss: 0.0375 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4886
|
||
[1m 15/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 299ms/step - accuracy: 0.9843 - loss: 0.0374 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4886
|
||
[1m 16/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 299ms/step - accuracy: 0.9844 - loss: 0.0374 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4886
|
||
[1m 17/120[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m30s[0m 299ms/step - accuracy: 0.9844 - loss: 0.0373 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4886
|
||
[1m 18/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 299ms/step - accuracy: 0.9844 - loss: 0.0372 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4886
|
||
[1m 19/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m30s[0m 299ms/step - accuracy: 0.9844 - loss: 0.0372 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4886
|
||
[1m 20/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 299ms/step - accuracy: 0.9845 - loss: 0.0371 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4886
|
||
[1m 21/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 299ms/step - accuracy: 0.9845 - loss: 0.0370 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 22/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 299ms/step - accuracy: 0.9845 - loss: 0.0370 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 23/120[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m28s[0m 299ms/step - accuracy: 0.9846 - loss: 0.0369 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 24/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 299ms/step - accuracy: 0.9846 - loss: 0.0369 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 25/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 299ms/step - accuracy: 0.9846 - loss: 0.0368 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 26/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m28s[0m 299ms/step - accuracy: 0.9846 - loss: 0.0368 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 27/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 299ms/step - accuracy: 0.9846 - loss: 0.0368 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 28/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 299ms/step - accuracy: 0.9846 - loss: 0.0368 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 29/120[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m27s[0m 299ms/step - accuracy: 0.9847 - loss: 0.0367 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 30/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 299ms/step - accuracy: 0.9847 - loss: 0.0367 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 31/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 299ms/step - accuracy: 0.9847 - loss: 0.0367 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 32/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m26s[0m 299ms/step - accuracy: 0.9847 - loss: 0.0367 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 33/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 299ms/step - accuracy: 0.9847 - loss: 0.0366 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 34/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 299ms/step - accuracy: 0.9847 - loss: 0.0366 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 35/120[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 299ms/step - accuracy: 0.9848 - loss: 0.0366 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 36/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m25s[0m 299ms/step - accuracy: 0.9848 - loss: 0.0365 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 37/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 299ms/step - accuracy: 0.9848 - loss: 0.0365 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 38/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 299ms/step - accuracy: 0.9848 - loss: 0.0365 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 39/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m24s[0m 299ms/step - accuracy: 0.9848 - loss: 0.0365 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 40/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m23s[0m 299ms/step - accuracy: 0.9848 - loss: 0.0365 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 41/120[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m23s[0m 299ms/step - accuracy: 0.9848 - loss: 0.0365 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
[1m 42/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m23s[0m 299ms/step - accuracy: 0.9848 - loss: 0.0364 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
||
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|
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[1m 44/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 299ms/step - accuracy: 0.9848 - loss: 0.0364 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
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[1m 45/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 299ms/step - accuracy: 0.9849 - loss: 0.0364 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
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[1m 46/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 299ms/step - accuracy: 0.9849 - loss: 0.0364 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
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[1m 47/120[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m21s[0m 299ms/step - accuracy: 0.9849 - loss: 0.0363 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
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[1m 48/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 299ms/step - accuracy: 0.9849 - loss: 0.0363 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
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[1m 49/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m21s[0m 299ms/step - accuracy: 0.9849 - loss: 0.0363 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
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[1m 50/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 299ms/step - accuracy: 0.9849 - loss: 0.0363 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
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[1m 51/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 299ms/step - accuracy: 0.9849 - loss: 0.0363 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
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[1m 52/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 299ms/step - accuracy: 0.9849 - loss: 0.0363 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
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[1m 53/120[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 299ms/step - accuracy: 0.9849 - loss: 0.0362 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
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[1m 54/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 299ms/step - accuracy: 0.9849 - loss: 0.0362 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
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[1m 55/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 299ms/step - accuracy: 0.9849 - loss: 0.0362 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
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[1m 56/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m19s[0m 299ms/step - accuracy: 0.9849 - loss: 0.0362 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
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[1m 57/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 299ms/step - accuracy: 0.9850 - loss: 0.0362 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
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[1m 58/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 299ms/step - accuracy: 0.9850 - loss: 0.0362 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
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[1m 59/120[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m18s[0m 299ms/step - accuracy: 0.9850 - loss: 0.0361 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
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[1m 60/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 299ms/step - accuracy: 0.9850 - loss: 0.0361 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
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[1m 61/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9850 - loss: 0.0361 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
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[1m 62/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9850 - loss: 0.0361 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
|
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[1m 63/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m17s[0m 300ms/step - accuracy: 0.9850 - loss: 0.0361 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
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[1m 64/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 300ms/step - accuracy: 0.9850 - loss: 0.0361 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
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[1m 65/120[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m16s[0m 300ms/step - accuracy: 0.9850 - loss: 0.0361 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
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[1m 66/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m16s[0m 300ms/step - accuracy: 0.9850 - loss: 0.0361 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4887
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[1m 67/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 300ms/step - accuracy: 0.9850 - loss: 0.0360 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 68/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 300ms/step - accuracy: 0.9850 - loss: 0.0360 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 69/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m15s[0m 300ms/step - accuracy: 0.9850 - loss: 0.0360 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 70/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m14s[0m 300ms/step - accuracy: 0.9850 - loss: 0.0360 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 71/120[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m14s[0m 300ms/step - accuracy: 0.9850 - loss: 0.0360 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 72/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 300ms/step - accuracy: 0.9851 - loss: 0.0360 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 73/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m14s[0m 300ms/step - accuracy: 0.9851 - loss: 0.0359 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 74/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 300ms/step - accuracy: 0.9851 - loss: 0.0359 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 75/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 300ms/step - accuracy: 0.9851 - loss: 0.0359 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 76/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 300ms/step - accuracy: 0.9851 - loss: 0.0359 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 77/120[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m12s[0m 300ms/step - accuracy: 0.9851 - loss: 0.0359 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 78/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 300ms/step - accuracy: 0.9851 - loss: 0.0359 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 79/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 300ms/step - accuracy: 0.9851 - loss: 0.0359 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 80/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m12s[0m 300ms/step - accuracy: 0.9851 - loss: 0.0358 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 81/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 300ms/step - accuracy: 0.9851 - loss: 0.0358 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 82/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 300ms/step - accuracy: 0.9851 - loss: 0.0358 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 83/120[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m11s[0m 300ms/step - accuracy: 0.9851 - loss: 0.0358 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 84/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 300ms/step - accuracy: 0.9851 - loss: 0.0358 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 85/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 300ms/step - accuracy: 0.9851 - loss: 0.0358 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 86/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m10s[0m 300ms/step - accuracy: 0.9851 - loss: 0.0358 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 87/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 300ms/step - accuracy: 0.9851 - loss: 0.0357 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 88/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 300ms/step - accuracy: 0.9852 - loss: 0.0357 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 89/120[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 300ms/step - accuracy: 0.9852 - loss: 0.0357 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 90/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m9s[0m 300ms/step - accuracy: 0.9852 - loss: 0.0357 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 91/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 300ms/step - accuracy: 0.9852 - loss: 0.0357 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 92/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 300ms/step - accuracy: 0.9852 - loss: 0.0357 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 93/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 300ms/step - accuracy: 0.9852 - loss: 0.0357 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 94/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 300ms/step - accuracy: 0.9852 - loss: 0.0356 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 95/120[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 300ms/step - accuracy: 0.9852 - loss: 0.0356 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 96/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m7s[0m 300ms/step - accuracy: 0.9852 - loss: 0.0356 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 97/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 300ms/step - accuracy: 0.9852 - loss: 0.0356 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 98/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 300ms/step - accuracy: 0.9852 - loss: 0.0356 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m 99/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 300ms/step - accuracy: 0.9852 - loss: 0.0356 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m100/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m6s[0m 300ms/step - accuracy: 0.9852 - loss: 0.0356 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m101/120[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m5s[0m 300ms/step - accuracy: 0.9852 - loss: 0.0356 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m102/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 300ms/step - accuracy: 0.9852 - loss: 0.0355 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m103/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 300ms/step - accuracy: 0.9852 - loss: 0.0355 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m104/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 300ms/step - accuracy: 0.9852 - loss: 0.0355 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m105/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 300ms/step - accuracy: 0.9852 - loss: 0.0355 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m106/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 300ms/step - accuracy: 0.9852 - loss: 0.0355 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m107/120[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m3s[0m 300ms/step - accuracy: 0.9853 - loss: 0.0355 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4888
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[1m108/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 300ms/step - accuracy: 0.9853 - loss: 0.0355 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4889
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[1m109/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 300ms/step - accuracy: 0.9853 - loss: 0.0355 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4889
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[1m110/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 300ms/step - accuracy: 0.9853 - loss: 0.0354 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4889
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[1m111/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 300ms/step - accuracy: 0.9853 - loss: 0.0354 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4889
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[1m112/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 300ms/step - accuracy: 0.9853 - loss: 0.0354 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4889
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[1m113/120[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m2s[0m 300ms/step - accuracy: 0.9853 - loss: 0.0354 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4889
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[1m114/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 300ms/step - accuracy: 0.9853 - loss: 0.0354 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4889
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[1m115/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 300ms/step - accuracy: 0.9853 - loss: 0.0354 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4889
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[1m116/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 300ms/step - accuracy: 0.9853 - loss: 0.0354 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4889
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[1m117/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 300ms/step - accuracy: 0.9853 - loss: 0.0354 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4889
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[1m118/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 300ms/step - accuracy: 0.9853 - loss: 0.0354 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4889
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[1m119/120[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 300ms/step - accuracy: 0.9853 - loss: 0.0353 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4889
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[1m120/120[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 300ms/step - accuracy: 0.9853 - loss: 0.0353 - mean_absolute_error: 0.5000 - mean_squared_error: 0.4889
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