newBodoPegasus
This model is a fine-tuned version of nsi319/legal-pegasus on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4936
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1367 | 1.0 | 313 | 2.2045 |
| 2.0544 | 2.0 | 626 | 2.0214 |
| 1.9343 | 3.0 | 939 | 1.9373 |
| 1.8886 | 4.0 | 1252 | 1.8889 |
| 1.9083 | 5.0 | 1565 | 1.8336 |
| 1.7978 | 6.0 | 1878 | 1.7782 |
| 1.8034 | 7.0 | 2191 | 1.7187 |
| 1.7245 | 8.0 | 2504 | 1.6301 |
| 1.6458 | 9.0 | 2817 | 1.5478 |
| 1.6034 | 9.9704 | 3120 | 1.4936 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.21.0
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Base model
nsi319/legal-pegasus