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Training in progress epoch 12

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  1. README.md +3 -2
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@@ -15,10 +15,10 @@ 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: 0.5065
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  - Validation Loss: 0.4941
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  - Train Accuracy: 0.8942
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- - Epoch: 11
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  ## Model description
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@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
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  | 0.5084 | 0.4941 | 0.8942 | 9 |
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  | 0.5026 | 0.4941 | 0.8942 | 10 |
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  | 0.5065 | 0.4941 | 0.8942 | 11 |
 
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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: 0.5019
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  - Validation Loss: 0.4941
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  - Train Accuracy: 0.8942
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+ - Epoch: 12
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  ## Model description
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  | 0.5084 | 0.4941 | 0.8942 | 9 |
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  | 0.5026 | 0.4941 | 0.8942 | 10 |
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  | 0.5065 | 0.4941 | 0.8942 | 11 |
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+ | 0.5019 | 0.4941 | 0.8942 | 12 |
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  ### Framework versions