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@@ -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: 0.5716
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- - Icm: 0.1185
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- - Icmnorm: 0.5602
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- - Fmeasure: 0.7096
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  ## Model description
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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 | 0.6638 | -0.4059 | 0.2938 | 0.3647 |
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- | No log | 2.0 | 386 | 0.5637 | -0.0203 | 0.4897 | 0.6511 |
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- | 0.6281 | 3.0 | 579 | 0.5716 | 0.1185 | 0.5602 | 0.7096 |
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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: 0.7353
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+ - Icm: 0.1069
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+ - Icmnorm: 0.5542
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+ - Fmeasure: 0.7011
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  ## Model description
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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 | 0.5957 | -0.1844 | 0.4065 | 0.5965 |
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+ | No log | 2.0 | 386 | 0.6312 | -0.0556 | 0.4718 | 0.6305 |
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+ | 0.5023 | 3.0 | 579 | 0.7353 | 0.1069 | 0.5542 | 0.7011 |
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  ### Framework versions