End of training
Browse files- README.md +4 -4
- model.safetensors +1 -1
- runs/Dec20_12-39-35_b694cfb1542f/events.out.tfevents.1703076014.b694cfb1542f.902.0 +3 -0
- runs/Dec20_12-50-27_b694cfb1542f/events.out.tfevents.1703076637.b694cfb1542f.3907.0 +3 -0
- runs/Dec20_12-50-27_b694cfb1542f/events.out.tfevents.1703077309.b694cfb1542f.3907.1 +3 -0
- runs/Dec20_15-48-45_25528190d6e7/events.out.tfevents.1703087332.25528190d6e7.680.0 +3 -0
- runs/Dec20_15-48-45_25528190d6e7/events.out.tfevents.1703087979.25528190d6e7.680.1 +3 -0
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli](https://huggingface.co/MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli) 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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- Accuracy: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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### Framework versions
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This model is a fine-tuned version of [MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli](https://huggingface.co/MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6442
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- Accuracy: 0.795
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- F1: 0.7959
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.9317 | 1.0 | 1000 | 0.6442 | 0.795 | 0.7959 |
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### Framework versions
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