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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: 5.9552
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- - Train End Logits Accuracy: 0.0042
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- - Train Start Logits Accuracy: 0.0011
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  - Validation Loss: 5.9506
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  - Validation End Logits Accuracy: 0.0
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  - Validation Start Logits Accuracy: 0.0
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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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  | 5.9532 | 0.0032 | 0.0011 | 5.9506 | 0.0 | 0.0063 | 33 |
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  | 5.9523 | 0.0021 | 0.0032 | 5.9506 | 0.0 | 0.0 | 34 |
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  | 5.9552 | 0.0042 | 0.0011 | 5.9506 | 0.0 | 0.0 | 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: 5.9538
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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: 0.0
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  - Validation Start Logits Accuracy: 0.0
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+ - Epoch: 36
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  ## Model description
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  | 5.9532 | 0.0032 | 0.0011 | 5.9506 | 0.0 | 0.0063 | 33 |
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  | 5.9523 | 0.0021 | 0.0032 | 5.9506 | 0.0 | 0.0 | 34 |
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  | 5.9552 | 0.0042 | 0.0011 | 5.9506 | 0.0 | 0.0 | 35 |
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+ | 5.9538 | 0.0021 | 0.0032 | 5.9506 | 0.0 | 0.0 | 36 |
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  ### Framework versions
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