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End of training

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  1. README.md +6 -7
  2. 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-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: 0.2232
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- - Train Accuracy: 0.9121
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- - Validation Loss: 0.4083
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- - Validation Accuracy: 0.8340
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- - Epoch: 1
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  ## Model description
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@@ -44,8 +44,7 @@ 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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- | 0.4619 | 0.7877 | 0.7007 | 0.7280 | 0 |
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- | 0.2232 | 0.9121 | 0.4083 | 0.8340 | 1 |
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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: 0.4876
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+ - Train Accuracy: 0.7620
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+ - Validation Loss: 0.5001
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+ - Validation Accuracy: 0.7842
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+ - Epoch: 0
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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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+ | 0.4876 | 0.7620 | 0.5001 | 0.7842 | 0 |
 
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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