Model save
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README.md
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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.
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- Icm: 0.
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- Icmnorm: 0.
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- Fmeasure: 0.
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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.
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| No log | 2.0 | 386 | 0.
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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
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