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Training in progress epoch 17

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@@ -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: 0.2063
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  - Validation Loss: 0.6270
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  - Train Accuracy: 0.7349
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- - Epoch: 16
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  ## Model description
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@@ -60,6 +60,7 @@ The following hyperparameters were used during training:
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  | 0.2114 | 0.6270 | 0.7349 | 14 |
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  | 0.2037 | 0.6270 | 0.7349 | 15 |
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  | 0.2063 | 0.6270 | 0.7349 | 16 |
 
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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: 0.2006
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  - Validation Loss: 0.6270
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  - Train Accuracy: 0.7349
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+ - Epoch: 17
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  ## Model description
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  | 0.2114 | 0.6270 | 0.7349 | 14 |
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  | 0.2037 | 0.6270 | 0.7349 | 15 |
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  | 0.2063 | 0.6270 | 0.7349 | 16 |
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+ | 0.2006 | 0.6270 | 0.7349 | 17 |
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  ### Framework versions