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  1. README.md +8 -8
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,10 +14,10 @@ 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: 0.7026653
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- - Train Accuracy: 0.546875
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- - Validation Loss: 0.6575696
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- - Validation Accuracy: 0.68125004
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  - Epoch: 3
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  ## Model description
@@ -44,10 +44,10 @@ 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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- | 0.69874364 | 0.50625 | 0.70221514 | 0.53125 | 0 |
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- | 0.70878094 | 0.48906252 | 0.70593625 | 0.471875 | 1 |
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- | 0.68859607 | 0.5609375 | 0.67271173 | 0.553125 | 2 |
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- | 0.7026653 | 0.546875 | 0.6575696 | 0.68125004 | 3 |
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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: 0.6803332
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+ - Train Accuracy: 0.57187504
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+ - Validation Loss: 0.6883397
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+ - Validation Accuracy: 0.54375
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  - Epoch: 3
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  ## Model description
 
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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+ | 0.70931095 | 0.5078125 | 0.81717503 | 0.528125 | 0 |
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+ | 0.77384466 | 0.5296875 | 0.68696874 | 0.51875 | 1 |
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+ | 0.68944424 | 0.53125 | 0.6837756 | 0.53125 | 2 |
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+ | 0.6803332 | 0.57187504 | 0.6883397 | 0.54375 | 3 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 438223192
 
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