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Upload TFBertForSequenceClassification

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  1. README.md +6 -6
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,9 +14,9 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.5679
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- - Train Accuracy: 0.6962
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- - Validation Loss: 0.6152
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  - Validation Accuracy: 0.6283
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  - Epoch: 2
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@@ -44,9 +44,9 @@ The following hyperparameters were used during training:
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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- | 0.6557 | 0.6165 | 0.6364 | 0.6283 | 0 |
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- | 0.6166 | 0.6785 | 0.6085 | 0.6283 | 1 |
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- | 0.5679 | 0.6962 | 0.6152 | 0.6283 | 2 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.5978
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+ - Train Accuracy: 0.6637
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+ - Validation Loss: 0.6129
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  - Validation Accuracy: 0.6283
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  - Epoch: 2
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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+ | 0.6357 | 0.6814 | 0.6421 | 0.6283 | 0 |
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+ | 0.6329 | 0.6667 | 0.6298 | 0.6283 | 1 |
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+ | 0.5978 | 0.6637 | 0.6129 | 0.6283 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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