metadata
library_name: transformers
license: mit
base_model: nsi319/legal-pegasus
tags:
- generated_from_trainer
model-index:
- name: legpeg-sci-tr
results: []
legpeg-sci-tr
This model is a fine-tuned version of nsi319/legal-pegasus on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8920
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3507 | 1.0 | 2904 | 3.1046 |
| 3.1536 | 2.0 | 5808 | 3.0137 |
| 3.0716 | 3.0 | 8712 | 2.9679 |
| 2.9939 | 4.0 | 11616 | 2.9447 |
| 2.9379 | 5.0 | 14520 | 2.9230 |
| 2.9062 | 6.0 | 17424 | 2.8920 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.1.post300
- Datasets 2.19.1
- Tokenizers 0.19.1