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End of training

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README.md CHANGED
@@ -17,8 +17,8 @@ should 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7827
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- - F1: 0.8216
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  ## Model description
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@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 165 | 0.4941 | 0.4672 |
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- | No log | 2.0 | 330 | 0.3701 | 0.4901 |
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- | No log | 3.0 | 495 | 0.3614 | 0.6713 |
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- | 0.4158 | 4.0 | 660 | 0.4760 | 0.7594 |
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- | 0.4158 | 5.0 | 825 | 0.7827 | 0.8216 |
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- | 0.4158 | 6.0 | 990 | 1.0213 | 0.8070 |
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- | 0.1592 | 7.0 | 1155 | 1.1861 | 0.8049 |
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- | 0.1592 | 8.0 | 1320 | 1.3309 | 0.8065 |
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- | 0.1592 | 9.0 | 1485 | 1.4214 | 0.8116 |
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- | 0.0391 | 10.0 | 1650 | 1.4379 | 0.8166 |
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0801
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+ - F1: 0.7913
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 165 | 0.5891 | 0.2122 |
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+ | No log | 2.0 | 330 | 0.4626 | 0.2122 |
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+ | No log | 3.0 | 495 | 0.4237 | 0.6942 |
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+ | 0.5036 | 4.0 | 660 | 0.5238 | 0.7538 |
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+ | 0.5036 | 5.0 | 825 | 0.5471 | 0.7061 |
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+ | 0.5036 | 6.0 | 990 | 0.6879 | 0.7355 |
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+ | 0.2759 | 7.0 | 1155 | 0.8325 | 0.7850 |
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+ | 0.2759 | 8.0 | 1320 | 0.9948 | 0.7743 |
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+ | 0.2759 | 9.0 | 1485 | 1.0801 | 0.7913 |
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+ | 0.1467 | 10.0 | 1650 | 1.1739 | 0.7897 |
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  ### Framework versions
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