End of training
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- pytorch_model.bin +1 -1
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: 0.5
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- Recall: 1.0
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| No log | 0.35 | 100 | 0.
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| No log | 0.71 | 200 | 0.
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| No log | 1.06 | 300 | 0.6932 | 0.5 | 0.0 | 0.0 | 0.0 |
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| No log | 1.42 | 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: 0.6950
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- Accuracy: 0.5
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- Precision: 0.5
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- Recall: 1.0
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| No log | 0.35 | 100 | 0.7296 | 0.5 | 0.0 | 0.0 | 0.0 |
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| No log | 0.71 | 200 | 0.7154 | 0.5 | 0.5 | 1.0 | 0.6667 |
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| No log | 1.06 | 300 | 0.6932 | 0.5 | 0.0 | 0.0 | 0.0 |
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| No log | 1.42 | 400 | 0.6934 | 0.5 | 0.0 | 0.0 | 0.0 |
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| 0.7016 | 1.77 | 500 | 0.6941 | 0.5 | 0.0 | 0.0 | 0.0 |
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| 0.7016 | 2.13 | 600 | 0.6979 | 0.5 | 0.0 | 0.0 | 0.0 |
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| 0.7016 | 2.48 | 700 | 0.6950 | 0.5 | 0.5 | 1.0 | 0.6667 |
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| 0.7016 | 2.84 | 800 | 0.6961 | 0.5 | 0.0 | 0.0 | 0.0 |
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| 0.7016 | 3.19 | 900 | 0.6939 | 0.5 | 0.5 | 1.0 | 0.6667 |
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| 0.6977 | 3.55 | 1000 | 0.6960 | 0.5 | 0.0 | 0.0 | 0.0 |
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| 0.6977 | 3.9 | 1100 | 0.6974 | 0.5 | 0.0 | 0.0 | 0.0 |
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| 0.6977 | 4.26 | 1200 | 0.6939 | 0.5 | 0.0 | 0.0 | 0.0 |
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| 0.6977 | 4.61 | 1300 | 0.6950 | 0.5 | 0.5 | 1.0 | 0.6667 |
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### Framework versions
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pytorch_model.bin
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size 498658094
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