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Training in progress epoch 30

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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: 0.0255
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- - Train End Logits Accuracy: 0.9853
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  - Train Start Logits Accuracy: 0.9937
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- - Validation Loss: 1.6061
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- - Validation End Logits Accuracy: 0.7774
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- - Validation Start Logits Accuracy: 0.7962
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- - Epoch: 29
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  ## Model description
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@@ -77,6 +77,7 @@ The following hyperparameters were used during training:
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  | 0.0307 | 0.9863 | 0.9926 | 1.4756 | 0.7774 | 0.7900 | 27 |
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  | 0.0254 | 0.9863 | 0.9895 | 1.7564 | 0.7774 | 0.7931 | 28 |
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  | 0.0255 | 0.9853 | 0.9937 | 1.6061 | 0.7774 | 0.7962 | 29 |
 
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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: 0.0214
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+ - Train End Logits Accuracy: 0.9863
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  - Train Start Logits Accuracy: 0.9937
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+ - Validation Loss: 1.7697
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+ - Validation End Logits Accuracy: 0.7712
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+ - Validation Start Logits Accuracy: 0.8056
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+ - Epoch: 30
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  ## Model description
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  | 0.0307 | 0.9863 | 0.9926 | 1.4756 | 0.7774 | 0.7900 | 27 |
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  | 0.0254 | 0.9863 | 0.9895 | 1.7564 | 0.7774 | 0.7931 | 28 |
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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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  ### Framework versions
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