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README.md CHANGED
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5592
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- - Icm: 0.2048
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- - Icmnorm: 0.6041
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- - Fmeasure: 0.7384
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  ## Model description
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@@ -49,17 +49,17 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Icm | Icmnorm | Fmeasure |
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- |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:--------:|
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- | No log | 1.0 | 193 | 0.6771 | -0.4059 | 0.2938 | 0.3647 |
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- | No log | 2.0 | 386 | 0.5592 | 0.2048 | 0.6041 | 0.7384 |
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- | 0.6383 | 3.0 | 579 | 0.6817 | 0.0056 | 0.5029 | 0.6528 |
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- | 0.6383 | 4.0 | 772 | 0.9275 | 0.0682 | 0.5346 | 0.6930 |
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- | 0.6383 | 5.0 | 965 | 1.2816 | 0.0941 | 0.5478 | 0.7006 |
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- | 0.2911 | 6.0 | 1158 | 1.5997 | 0.0966 | 0.5491 | 0.7019 |
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- | 0.2911 | 7.0 | 1351 | 1.7246 | 0.1418 | 0.5721 | 0.7156 |
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- | 0.0684 | 8.0 | 1544 | 1.8094 | 0.0941 | 0.5478 | 0.7006 |
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- | 0.0684 | 9.0 | 1737 | 1.8583 | 0.0941 | 0.5478 | 0.7006 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1793
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+ - Icm: 0.1480
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+ - Icmnorm: 0.5752
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+ - Fmeasure: 0.7194
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Icm | Icmnorm | Fmeasure |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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+ | No log | 1.0 | 193 | 0.6062 | 0.0275 | 0.5140 | 0.6639 |
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+ | No log | 2.0 | 386 | 0.5694 | 0.0336 | 0.5171 | 0.6785 |
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+ | 0.5724 | 3.0 | 579 | 0.8413 | 0.0158 | 0.5080 | 0.6641 |
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+ | 0.5724 | 4.0 | 772 | 1.1793 | 0.1480 | 0.5752 | 0.7194 |
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+ | 0.5724 | 5.0 | 965 | 1.4878 | 0.0672 | 0.5341 | 0.6892 |
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+ | 0.2239 | 6.0 | 1158 | 1.6802 | 0.0966 | 0.5491 | 0.7019 |
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+ | 0.2239 | 7.0 | 1351 | 1.8348 | 0.0799 | 0.5406 | 0.6964 |
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+ | 0.0665 | 8.0 | 1544 | 1.9795 | 0.0606 | 0.5308 | 0.6897 |
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+ | 0.0665 | 9.0 | 1737 | 2.0300 | 0.0606 | 0.5308 | 0.6897 |
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  ### Framework versions
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