edyfjm07 commited on
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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: 0.1373
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- - Train End Logits Accuracy: 0.9349
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- - Train Start Logits Accuracy: 0.9601
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- - Validation Loss: 1.2201
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- - Validation End Logits Accuracy: 0.7806
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- - Validation Start Logits Accuracy: 0.8056
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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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  | 0.1536 | 0.9244 | 0.9590 | 1.2054 | 0.7868 | 0.8182 | 27 |
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  | 0.1221 | 0.9485 | 0.9601 | 1.1996 | 0.7806 | 0.8088 | 28 |
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  | 0.1373 | 0.9349 | 0.9601 | 1.2201 | 0.7806 | 0.8056 | 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: 0.1334
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+ - Train End Logits Accuracy: 0.9443
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+ - Train Start Logits Accuracy: 0.9569
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+ - Validation Loss: 1.2531
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+ - Validation End Logits Accuracy: 0.7868
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+ - Validation Start Logits Accuracy: 0.8025
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+ - Epoch: 30
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  ## Model description
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  | 0.1536 | 0.9244 | 0.9590 | 1.2054 | 0.7868 | 0.8182 | 27 |
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  | 0.1221 | 0.9485 | 0.9601 | 1.1996 | 0.7806 | 0.8088 | 28 |
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  | 0.1373 | 0.9349 | 0.9601 | 1.2201 | 0.7806 | 0.8056 | 29 |
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+ | 0.1334 | 0.9443 | 0.9569 | 1.2531 | 0.7868 | 0.8025 | 30 |
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  ### Framework versions
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