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README.md
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# legal_deberta
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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## Model description
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### Training results
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### Framework versions
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# legal_deberta
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4214
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- Law Precision: 0.6449
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- Law Recall: 0.92
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- Law F1: 0.7582
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- Law Number: 75
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- Violated by Precision: 0.8625
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- Violated by Recall: 0.92
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- Violated by F1: 0.8903
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- Violated by Number: 75
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- Violated on Precision: 0.625
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- Violated on Recall: 0.7333
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- Violated on F1: 0.6748
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- Violated on Number: 75
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- Violation Precision: 0.5683
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- Violation Recall: 0.6347
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- Violation F1: 0.5997
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- Violation Number: 616
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- Overall Precision: 0.6064
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- Overall Recall: 0.6944
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- Overall F1: 0.6475
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- Overall Accuracy: 0.9475
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Law Precision | Law Recall | Law F1 | Law Number | Violated by Precision | Violated by Recall | Violated by F1 | Violated by Number | Violated on Precision | Violated on Recall | Violated on F1 | Violated on Number | Violation Precision | Violation Recall | Violation F1 | Violation Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:-------------:|:----------:|:------:|:----------:|:---------------------:|:------------------:|:--------------:|:------------------:|:---------------------:|:------------------:|:--------------:|:------------------:|:-------------------:|:----------------:|:------------:|:----------------:|:-----------------:|:--------------:|:----------:|:----------------:|
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| 0.0391 | 11.11 | 500 | 0.3372 | 0.5652 | 0.8667 | 0.6842 | 75 | 0.8023 | 0.92 | 0.8571 | 75 | 0.6042 | 0.7733 | 0.6784 | 75 | 0.4690 | 0.6640 | 0.5497 | 616 | 0.5141 | 0.7146 | 0.5980 | 0.9283 |
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| 0.0036 | 22.22 | 1000 | 0.4019 | 0.5667 | 0.9067 | 0.6974 | 75 | 0.7955 | 0.9333 | 0.8589 | 75 | 0.5455 | 0.72 | 0.6207 | 75 | 0.5681 | 0.6429 | 0.6032 | 616 | 0.5857 | 0.6992 | 0.6374 | 0.9443 |
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| 0.0002 | 33.33 | 1500 | 0.3958 | 0.6 | 0.92 | 0.7263 | 75 | 0.8023 | 0.92 | 0.8571 | 75 | 0.5556 | 0.7333 | 0.6322 | 75 | 0.5476 | 0.6347 | 0.5880 | 616 | 0.5759 | 0.6944 | 0.6296 | 0.9463 |
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| 0.0001 | 44.44 | 2000 | 0.4214 | 0.6449 | 0.92 | 0.7582 | 75 | 0.8625 | 0.92 | 0.8903 | 75 | 0.625 | 0.7333 | 0.6748 | 75 | 0.5683 | 0.6347 | 0.5997 | 616 | 0.6064 | 0.6944 | 0.6475 | 0.9475 |
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### Framework versions
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