bodoLegalPegasus
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: 2.7662
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.6251 | 1.0 | 313 | 3.5900 |
| 3.2344 | 2.0 | 626 | 3.1249 |
| 3.0194 | 3.0 | 939 | 2.8920 |
| 2.8709 | 3.9896 | 1248 | 2.7662 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.0.1+cu117
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for Mwnthai/bodoLegalPegasus
Base model
nsi319/legal-pegasus