edyfjm07 commited on
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Training in progress epoch 19

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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: 0.0752
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- - Train End Logits Accuracy: 0.9674
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- - Train Start Logits Accuracy: 0.9790
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- - Validation Loss: 1.4401
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- - Validation End Logits Accuracy: 0.7931
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- - Validation Start Logits Accuracy: 0.7994
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- - Epoch: 18
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  ## Model description
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@@ -66,6 +66,7 @@ The following hyperparameters were used during training:
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  | 0.0956 | 0.9590 | 0.9685 | 1.5160 | 0.7837 | 0.7900 | 16 |
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  | 0.0712 | 0.9727 | 0.9737 | 1.5741 | 0.7900 | 0.8088 | 17 |
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  | 0.0752 | 0.9674 | 0.9790 | 1.4401 | 0.7931 | 0.7994 | 18 |
 
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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: 0.0604
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+ - Train End Logits Accuracy: 0.9737
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+ - Train Start Logits Accuracy: 0.9779
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+ - Validation Loss: 1.6410
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+ - Validation End Logits Accuracy: 0.7962
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+ - Validation Start Logits Accuracy: 0.8088
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+ - Epoch: 19
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  ## Model description
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  | 0.0956 | 0.9590 | 0.9685 | 1.5160 | 0.7837 | 0.7900 | 16 |
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  | 0.0712 | 0.9727 | 0.9737 | 1.5741 | 0.7900 | 0.8088 | 17 |
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  | 0.0752 | 0.9674 | 0.9790 | 1.4401 | 0.7931 | 0.7994 | 18 |
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+ | 0.0604 | 0.9737 | 0.9779 | 1.6410 | 0.7962 | 0.8088 | 19 |
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  ### Framework versions
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