metadata
license: mit
base_model: nsi319/legal-pegasus
tags:
- generated_from_trainer
model-index:
- name: legal-pegasus
results: []
legal-pegasus
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: 6.5172
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.7252 | 0.57 | 250 | 8.7333 |
| 6.7182 | 1.14 | 500 | 6.7300 |
| 6.3821 | 1.71 | 750 | 6.5172 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1