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Training in progress epoch 36

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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: 0.0216
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- - Train End Logits Accuracy: 0.9884
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- - Train Start Logits Accuracy: 0.9947
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- - Validation Loss: 1.5707
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- - Validation End Logits Accuracy: 0.7931
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  - Validation Start Logits Accuracy: 0.8025
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- - Epoch: 35
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  ## Model description
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@@ -83,6 +83,7 @@ The following hyperparameters were used during training:
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  | 0.0252 | 0.9832 | 0.9947 | 1.8182 | 0.7837 | 0.7962 | 33 |
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  | 0.0222 | 0.9863 | 0.9947 | 1.7854 | 0.7837 | 0.7931 | 34 |
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  | 0.0216 | 0.9884 | 0.9947 | 1.5707 | 0.7931 | 0.8025 | 35 |
 
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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: 0.0161
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+ - Train End Logits Accuracy: 0.9937
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+ - Train Start Logits Accuracy: 0.9916
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+ - Validation Loss: 1.7071
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+ - Validation End Logits Accuracy: 0.7806
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  - Validation Start Logits Accuracy: 0.8025
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+ - Epoch: 36
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  ## Model description
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  | 0.0252 | 0.9832 | 0.9947 | 1.8182 | 0.7837 | 0.7962 | 33 |
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  | 0.0222 | 0.9863 | 0.9947 | 1.7854 | 0.7837 | 0.7931 | 34 |
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  | 0.0216 | 0.9884 | 0.9947 | 1.5707 | 0.7931 | 0.8025 | 35 |
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+ | 0.0161 | 0.9937 | 0.9916 | 1.7071 | 0.7806 | 0.8025 | 36 |
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  ### Framework versions
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