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Training in progress epoch 0

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  1. README.md +5 -15
  2. tf_model.h5 +2 -2
  3. tokenizer.json +1 -6
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 [distilbert-base-uncased](https://huggingface.co/distilbert-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: 0.5163
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- - Validation Loss: 0.5107
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- - Train Accuracy: 0.9231
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- - Epoch: 10
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  ## Model description
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@@ -43,17 +43,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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- | 0.6871 | 0.6607 | 0.8173 | 0 |
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- | 0.6514 | 0.6191 | 0.8942 | 1 |
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- | 0.6034 | 0.5676 | 0.9135 | 2 |
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- | 0.5674 | 0.5274 | 0.9231 | 3 |
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- | 0.5293 | 0.5107 | 0.9231 | 4 |
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- | 0.5230 | 0.5107 | 0.9231 | 5 |
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- | 0.5177 | 0.5107 | 0.9231 | 6 |
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- | 0.5154 | 0.5107 | 0.9231 | 7 |
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- | 0.5235 | 0.5107 | 0.9231 | 8 |
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- | 0.5291 | 0.5107 | 0.9231 | 9 |
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- | 0.5163 | 0.5107 | 0.9231 | 10 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-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: 0.6853
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+ - Validation Loss: 0.6586
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+ - Train Accuracy: 0.7788
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+ - Epoch: 0
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  ## Model description
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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+ | 0.6853 | 0.6586 | 0.7788 | 0 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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tokenizer.json CHANGED
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