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Training in progress epoch 1

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  1. README.md +5 -4
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,13 +14,13 @@ 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: 1.4532
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- - Train End Logits Accuracy: 0.6299
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- - Train Start Logits Accuracy: 0.6025
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  - Validation Loss: 0.0
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  - Validation End Logits Accuracy: 0.0
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  - Validation Start Logits Accuracy: 0.0
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- - Epoch: 0
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  ## Model description
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@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
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  |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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  | 1.4532 | 0.6299 | 0.6025 | 0.0 | 0.0 | 0.0 | 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: 0.8982
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+ - Train End Logits Accuracy: 0.7715
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+ - Train Start Logits Accuracy: 0.7266
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  - Validation Loss: 0.0
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  - Validation End Logits Accuracy: 0.0
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  - Validation Start Logits Accuracy: 0.0
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+ - Epoch: 1
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  ## Model description
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  | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
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  |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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  | 1.4532 | 0.6299 | 0.6025 | 0.0 | 0.0 | 0.0 | 0 |
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+ | 0.8982 | 0.7715 | 0.7266 | 0.0 | 0.0 | 0.0 | 1 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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