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End of training

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  1. README.md +7 -7
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  ---
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  license: cc-by-sa-4.0
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- base_model: nlpaueb/legal-bert-small-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
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  # M4-chunk-300
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- This model is a fine-tuned version of [nlpaueb/legal-bert-small-uncased](https://huggingface.co/nlpaueb/legal-bert-small-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2335
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- - Accuracy: 0.6368
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.1923 | 1.0 | 2994 | 1.3085 | 0.5970 |
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- | 0.7894 | 2.0 | 5988 | 1.1966 | 0.6379 |
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- | 0.5706 | 3.0 | 8982 | 1.2335 | 0.6368 |
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  ### Framework versions
 
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  ---
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  license: cc-by-sa-4.0
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+ base_model: raminass/scotus-v10
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # M4-chunk-300
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+ This model is a fine-tuned version of [raminass/scotus-v10](https://huggingface.co/raminass/scotus-v10) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9865
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+ - Accuracy: 0.7412
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.698 | 1.0 | 2994 | 0.9606 | 0.7182 |
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+ | 0.3583 | 2.0 | 5988 | 0.9809 | 0.7295 |
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+ | 0.2108 | 3.0 | 8982 | 0.9865 | 0.7412 |
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  ### Framework versions