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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: 0.65831417
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- - Train Accuracy: 0.60625
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- - Validation Loss: 0.6625422
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- - Validation Accuracy: 0.58750004
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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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- | 0.73159534 | 0.4828125 | 0.6886306 | 0.50937504 | 0 |
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- | 0.7033534 | 0.5203125 | 0.6813332 | 0.534375 | 1 |
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- | 0.69227237 | 0.515625 | 0.68848985 | 0.49687502 | 2 |
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- | 0.65831417 | 0.60625 | 0.6625422 | 0.58750004 | 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: 0.7026653
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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
 
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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
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 438223192
 
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