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Training in progress epoch 9

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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: 0.2055
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  - Validation Loss: 0.6270
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  - Train Accuracy: 0.7349
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- - Epoch: 8
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  ## Model description
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@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
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  | 0.2113 | 0.6270 | 0.7349 | 6 |
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  | 0.2019 | 0.6270 | 0.7349 | 7 |
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  | 0.2055 | 0.6270 | 0.7349 | 8 |
 
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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: 0.2129
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  - Validation Loss: 0.6270
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  - Train Accuracy: 0.7349
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+ - Epoch: 9
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  ## Model description
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  | 0.2113 | 0.6270 | 0.7349 | 6 |
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  | 0.2019 | 0.6270 | 0.7349 | 7 |
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  | 0.2055 | 0.6270 | 0.7349 | 8 |
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+ | 0.2129 | 0.6270 | 0.7349 | 9 |
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  ### Framework versions