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:
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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 results
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| Training Loss | Epoch | Step | Validation Loss | Icm
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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: 0.5592
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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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### 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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model.safetensors
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