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Training in progress epoch 5

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README.md CHANGED
@@ -15,13 +15,13 @@ 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: 0.9172
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- - Train End Logits Accuracy: 0.6870
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- - Train Start Logits Accuracy: 0.7405
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- - Validation Loss: 1.1305
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- - Validation End Logits Accuracy: 0.6771
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- - Validation Start Logits Accuracy: 0.7335
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- - Epoch: 4
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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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  | 1.4343 | 0.5599 | 0.6166 | 1.3371 | 0.5768 | 0.6426 | 2 |
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  | 1.0892 | 0.6313 | 0.6891 | 1.1850 | 0.6677 | 0.6865 | 3 |
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  | 0.9172 | 0.6870 | 0.7405 | 1.1305 | 0.6771 | 0.7335 | 4 |
 
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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: 0.7470
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+ - Train End Logits Accuracy: 0.7258
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+ - Train Start Logits Accuracy: 0.7910
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+ - Validation Loss: 1.0674
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+ - Validation End Logits Accuracy: 0.7147
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+ - Validation Start Logits Accuracy: 0.7524
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+ - Epoch: 5
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  ## Model description
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  | 1.4343 | 0.5599 | 0.6166 | 1.3371 | 0.5768 | 0.6426 | 2 |
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  | 1.0892 | 0.6313 | 0.6891 | 1.1850 | 0.6677 | 0.6865 | 3 |
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  | 0.9172 | 0.6870 | 0.7405 | 1.1305 | 0.6771 | 0.7335 | 4 |
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+ | 0.7470 | 0.7258 | 0.7910 | 1.0674 | 0.7147 | 0.7524 | 5 |
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  ### Framework versions
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