LongRiver commited on
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Training in progress epoch 8

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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-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.5378
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- - Train End Logits Accuracy: 0.8606
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- - Train Start Logits Accuracy: 0.8272
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- - Validation Loss: 2.6468
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- - Validation End Logits Accuracy: 0.5339
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- - Validation Start Logits Accuracy: 0.4905
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- - Epoch: 7
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  ## Model description
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@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
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  | 0.7732 | 0.8052 | 0.7643 | 2.4008 | 0.5180 | 0.4767 | 5 |
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  | 0.6369 | 0.8344 | 0.8008 | 2.6350 | 0.5010 | 0.4572 | 6 |
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  | 0.5378 | 0.8606 | 0.8272 | 2.6468 | 0.5339 | 0.4905 | 7 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.4549
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+ - Train End Logits Accuracy: 0.8851
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+ - Train Start Logits Accuracy: 0.8520
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+ - Validation Loss: 2.8469
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+ - Validation End Logits Accuracy: 0.5146
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+ - Validation Start Logits Accuracy: 0.4677
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+ - Epoch: 8
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  ## Model description
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  | 0.7732 | 0.8052 | 0.7643 | 2.4008 | 0.5180 | 0.4767 | 5 |
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  | 0.6369 | 0.8344 | 0.8008 | 2.6350 | 0.5010 | 0.4572 | 6 |
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  | 0.5378 | 0.8606 | 0.8272 | 2.6468 | 0.5339 | 0.4905 | 7 |
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+ | 0.4549 | 0.8851 | 0.8520 | 2.8469 | 0.5146 | 0.4677 | 8 |
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  ### Framework versions
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