metadata
base_model: google/pegasus-xsum
tags:
- generated_from_trainer
model-index:
- name: pegasus-legalease
results: []
pegasus-legalease
This model is a fine-tuned version of google/pegasus-xsum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3179
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.09 | 250 | 5.1004 |
| 5.3707 | 0.18 | 500 | 4.3752 |
| 5.3707 | 0.27 | 750 | 1.4387 |
| 2.5676 | 0.36 | 1000 | 1.3193 |
| 2.5676 | 0.46 | 1250 | 1.3070 |
| 1.4301 | 0.55 | 1500 | 1.3189 |
| 1.4301 | 0.64 | 1750 | 1.3252 |
| 1.4417 | 0.73 | 2000 | 1.3179 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2