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End of training

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  1. README.md +12 -12
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,8 +14,8 @@ 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: 2.7758
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- - Validation Loss: 2.3485
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  - Epoch: 9
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  ## Model description
@@ -42,16 +42,16 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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- | 2.7780 | 2.3811 | 0 |
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- | 2.7776 | 2.3796 | 1 |
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- | 2.7780 | 2.3728 | 2 |
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- | 2.7803 | 2.3714 | 3 |
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- | 2.7798 | 2.3651 | 4 |
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- | 2.7814 | 2.3491 | 5 |
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- | 2.7724 | 2.3558 | 6 |
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- | 2.7756 | 2.3925 | 7 |
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- | 2.7732 | 2.3823 | 8 |
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- | 2.7758 | 2.3485 | 9 |
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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: 2.7816
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+ - Validation Loss: 2.3592
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  - Epoch: 9
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  ## Model description
 
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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+ | 2.7776 | 2.3647 | 0 |
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+ | 2.7744 | 2.3469 | 1 |
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+ | 2.7683 | 2.3527 | 2 |
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+ | 2.7743 | 2.3708 | 3 |
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+ | 2.7809 | 2.3819 | 4 |
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+ | 2.7674 | 2.3599 | 5 |
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+ | 2.7715 | 2.3541 | 6 |
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+ | 2.7766 | 2.3423 | 7 |
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+ | 2.7834 | 2.3535 | 8 |
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+ | 2.7816 | 2.3592 | 9 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 533687680
 
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