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Training in progress epoch 1

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  1. README.md +6 -5
  2. logs/train/events.out.tfevents.1656604604.matt-TRX40-AORUS-PRO-WIFI.51929.0.v2 +2 -2
  3. logs/validation/events.out.tfevents.1656605348.matt-TRX40-AORUS-PRO-WIFI.51929.1.v2 +2 -2
  4. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.8585
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- - Train Sparse Categorical Accuracy: 0.6547
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- - Validation Loss: 0.6112
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- - Validation Sparse Categorical Accuracy: 0.7589
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- - Epoch: 0
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  ## Model description
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@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
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  |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
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  | 0.8585 | 0.6547 | 0.6112 | 0.7589 | 0 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.3754
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+ - Train Sparse Categorical Accuracy: 0.8610
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+ - Validation Loss: 0.6098
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+ - Validation Sparse Categorical Accuracy: 0.7808
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+ - Epoch: 1
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  ## Model description
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  | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
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  |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
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  | 0.8585 | 0.6547 | 0.6112 | 0.7589 | 0 |
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+ | 0.3754 | 0.8610 | 0.6098 | 0.7808 | 1 |
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  ### Framework versions
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