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--- |
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library_name: transformers |
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base_model: 0-hero/led-large-legal-summary |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: results |
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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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# results |
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This model is a fine-tuned version of [0-hero/led-large-legal-summary](https://huggingface.co/0-hero/led-large-legal-summary) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1953 |
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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: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.3391 | 1.0 | 515 | 2.3141 | |
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| 1.9654 | 2.0 | 1030 | 2.2136 | |
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| 1.815 | 3.0 | 1545 | 2.1874 | |
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| 1.7097 | 4.0 | 2060 | 2.1793 | |
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| 1.5982 | 5.0 | 2575 | 2.1953 | |
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### Framework versions |
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- Transformers 4.51.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.0 |
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