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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: pegasus-legalease |
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results: [] |
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datasets: |
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- hheiden/us-congress-117-bills |
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language: |
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- en |
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metrics: |
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- rouge |
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library_name: transformers |
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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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# pegasus-legalease |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Rouge1: 0.4632 |
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- Rouge2: 0.3210 |
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- RougeL: 0.4055 |
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- Rougelsum: 0.4196 |
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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: 4 |
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- seed: 42 |
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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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- num_epochs: 1 |
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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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| No log | 0.09 | 250 | 4.5607 | |
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| 4.8769 | 0.18 | 500 | 4.2187 | |
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| 4.8769 | 0.27 | 750 | 2.2905 | |
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| 2.9804 | 0.35 | 1000 | 1.1894 | |
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| 2.9804 | 0.44 | 1250 | 1.1604 | |
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| 1.3716 | 0.53 | 1500 | 1.1433 | |
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| 1.3716 | 0.62 | 1750 | 1.1318 | |
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| 1.2964 | 0.71 | 2000 | 1.1244 | |
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| 1.2964 | 0.8 | 2250 | 1.1188 | |
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| 1.248 | 0.89 | 2500 | 1.1152 | |
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| 1.248 | 0.98 | 2750 | 1.1142 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
