End of training
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- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.6881
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- F1: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 |
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| 0.
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### Framework versions
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This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1366
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- Precision: 0.6230
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- Recall: 0.6881
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- F1: 0.6539
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- Accuracy: 0.9738
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 410 | 0.0770 | 0.5744 | 0.6056 | 0.5896 | 0.9720 |
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| 0.1137 | 2.0 | 820 | 0.0612 | 0.5608 | 0.6398 | 0.5977 | 0.9723 |
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| 0.056 | 3.0 | 1230 | 0.0671 | 0.6374 | 0.6861 | 0.6609 | 0.9753 |
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| 0.0347 | 4.0 | 1640 | 0.0854 | 0.6026 | 0.7505 | 0.6685 | 0.9754 |
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| 0.0221 | 5.0 | 2050 | 0.1062 | 0.6138 | 0.6781 | 0.6444 | 0.9732 |
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| 0.0221 | 6.0 | 2460 | 0.1116 | 0.6181 | 0.7002 | 0.6566 | 0.9750 |
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| 0.0119 | 7.0 | 2870 | 0.1143 | 0.6405 | 0.7565 | 0.6937 | 0.9768 |
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| 0.007 | 8.0 | 3280 | 0.1303 | 0.6712 | 0.6901 | 0.6806 | 0.9747 |
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| 0.0058 | 9.0 | 3690 | 0.1347 | 0.6189 | 0.6861 | 0.6508 | 0.9741 |
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| 0.0036 | 10.0 | 4100 | 0.1366 | 0.6230 | 0.6881 | 0.6539 | 0.9738 |
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### Framework versions
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pytorch_model.bin
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training_args.bin
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