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Training in progress epoch 12

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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: 5.9608
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  - Train End Logits Accuracy: 0.0021
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- - Train Start Logits Accuracy: 0.0032
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  - Validation Loss: 5.9506
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- - Validation End Logits Accuracy: 0.0125
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- - Validation Start Logits Accuracy: 0.0094
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- - Epoch: 11
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  ## Model description
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@@ -59,6 +59,7 @@ The following hyperparameters were used during training:
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  | 5.9596 | 0.0021 | 0.0032 | 5.9506 | 0.0 | 0.0031 | 9 |
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  | 5.9648 | 0.0021 | 0.0021 | 5.9506 | 0.0094 | 0.0063 | 10 |
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  | 5.9608 | 0.0021 | 0.0032 | 5.9506 | 0.0125 | 0.0094 | 11 |
 
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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: 5.9567
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  - Train End Logits Accuracy: 0.0021
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+ - Train Start Logits Accuracy: 0.0053
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  - Validation Loss: 5.9506
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+ - Validation End Logits Accuracy: 0.0063
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+ - Validation Start Logits Accuracy: 0.0
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+ - Epoch: 12
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  ## Model description
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  | 5.9596 | 0.0021 | 0.0032 | 5.9506 | 0.0 | 0.0031 | 9 |
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  | 5.9648 | 0.0021 | 0.0021 | 5.9506 | 0.0094 | 0.0063 | 10 |
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  | 5.9608 | 0.0021 | 0.0032 | 5.9506 | 0.0125 | 0.0094 | 11 |
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+ | 5.9567 | 0.0021 | 0.0053 | 5.9506 | 0.0063 | 0.0 | 12 |
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  ### Framework versions
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