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Training in progress epoch 32

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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: 0.0283
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- - Train End Logits Accuracy: 0.9842
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- - Train Start Logits Accuracy: 0.9863
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- - Validation Loss: 1.8398
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- - Validation End Logits Accuracy: 0.7806
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- - Validation Start Logits Accuracy: 0.7900
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- - Epoch: 31
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  ## Model description
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@@ -79,6 +79,7 @@ The following hyperparameters were used during training:
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  | 0.0255 | 0.9853 | 0.9937 | 1.6061 | 0.7774 | 0.7962 | 29 |
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  | 0.0214 | 0.9863 | 0.9937 | 1.7697 | 0.7712 | 0.8056 | 30 |
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  | 0.0283 | 0.9842 | 0.9863 | 1.8398 | 0.7806 | 0.7900 | 31 |
 
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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: 0.0182
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+ - Train End Logits Accuracy: 0.9905
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+ - Train Start Logits Accuracy: 0.9926
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+ - Validation Loss: 1.8756
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+ - Validation End Logits Accuracy: 0.7837
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+ - Validation Start Logits Accuracy: 0.7994
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+ - Epoch: 32
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  ## Model description
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  | 0.0255 | 0.9853 | 0.9937 | 1.6061 | 0.7774 | 0.7962 | 29 |
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  | 0.0214 | 0.9863 | 0.9937 | 1.7697 | 0.7712 | 0.8056 | 30 |
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  | 0.0283 | 0.9842 | 0.9863 | 1.8398 | 0.7806 | 0.7900 | 31 |
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+ | 0.0182 | 0.9905 | 0.9926 | 1.8756 | 0.7837 | 0.7994 | 32 |
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  ### Framework versions
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