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End of training

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  1. README.md +12 -12
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ 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: 3.1554
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- - F1: 0.1871
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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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- | 0.0515 | 1.0 | 138 | 2.1859 | 0.1341 |
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- | 0.5098 | 2.0 | 276 | 3.4767 | 0.1667 |
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- | 0.0031 | 3.0 | 414 | 2.3760 | 0.1717 |
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- | 0.4391 | 4.0 | 552 | 2.6391 | 0.1744 |
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- | 0.1374 | 5.0 | 690 | 2.9564 | 0.1656 |
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- | 0.027 | 6.0 | 828 | 2.9652 | 0.1763 |
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- | 0.0213 | 7.0 | 966 | 2.8409 | 0.1837 |
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- | 0.0071 | 8.0 | 1104 | 3.1554 | 0.1871 |
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- | 0.0009 | 9.0 | 1242 | 3.2347 | 0.1740 |
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- | 0.01 | 10.0 | 1380 | 3.1856 | 0.1855 |
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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: 2.4742
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+ - F1: 0.2408
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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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+ | 0.0979 | 1.0 | 138 | 2.1940 | 0.1065 |
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+ | 0.1215 | 2.0 | 276 | 2.3970 | 0.2096 |
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+ | 1.1233 | 3.0 | 414 | 2.0863 | 0.1919 |
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+ | 0.0041 | 4.0 | 552 | 2.6282 | 0.1823 |
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+ | 0.0141 | 5.0 | 690 | 2.9322 | 0.1994 |
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+ | 0.0348 | 6.0 | 828 | 2.4742 | 0.2408 |
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+ | 0.0018 | 7.0 | 966 | 2.8876 | 0.1986 |
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+ | 0.0014 | 8.0 | 1104 | 3.1422 | 0.1878 |
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+ | 0.0044 | 9.0 | 1242 | 3.0119 | 0.2142 |
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+ | 0.5136 | 10.0 | 1380 | 2.9972 | 0.2082 |
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  ### Framework versions
pytorch_model.bin CHANGED
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