End of training
Browse files- README.md +67 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: cc-by-sa-4.0
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base_model: nlpaueb/legal-bert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: legalcase_outcome_model_v3
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# legalcase_outcome_model_v3
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This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co/nlpaueb/legal-bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8798
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- Accuracy: 0.3441
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.5962 | 1.0 | 224 | 2.5266 | 0.3533 |
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| 0.5769 | 2.0 | 448 | 2.7836 | 0.3472 |
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| 0.4587 | 3.0 | 672 | 2.8798 | 0.3441 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.0
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 437983256
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version https://git-lfs.github.com/spec/v1
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size 437983256
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