End of training
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README.md
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) 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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- Accuracy: 0.5
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- Precision: 0.0
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- Recall: 0.0
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| No log | 0.8 | 100 | 0.
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| No log | 1.6 | 200 | 0.6932 | 0.5 | 0.5 | 1.0 | 0.6667 |
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| No log | 2.4 | 300 | 0.
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| No log | 3.2 | 400 | 0.
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### Framework versions
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6932
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- Accuracy: 0.5
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- Precision: 0.0
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- Recall: 0.0
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| No log | 0.8 | 100 | 0.6932 | 0.5 | 0.0 | 0.0 | 0.0 |
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| No log | 1.6 | 200 | 0.6932 | 0.5 | 0.5 | 1.0 | 0.6667 |
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| No log | 2.4 | 300 | 0.6937 | 0.5 | 0.5 | 1.0 | 0.6667 |
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| No log | 3.2 | 400 | 0.7087 | 0.5 | 0.0 | 0.0 | 0.0 |
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| 0.699 | 4.0 | 500 | 0.6973 | 0.5 | 0.5 | 1.0 | 0.6667 |
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| 0.699 | 4.8 | 600 | 0.7004 | 0.5 | 0.0 | 0.0 | 0.0 |
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| 0.699 | 5.6 | 700 | 0.6932 | 0.5 | 0.0 | 0.0 | 0.0 |
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| 0.699 | 6.4 | 800 | 0.6961 | 0.5 | 0.0 | 0.0 | 0.0 |
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| 0.699 | 7.2 | 900 | 0.6935 | 0.5 | 0.0 | 0.0 | 0.0 |
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| 0.6975 | 8.0 | 1000 | 0.6932 | 0.5 | 0.0 | 0.0 | 0.0 |
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### Framework versions
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pytorch_model.bin
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size 498658094
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version https://git-lfs.github.com/spec/v1
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size 498658094
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