|
--- |
|
license: mit |
|
base_model: nsi319/legal-pegasus |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: pegasus-legalease |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# pegasus-legalease |
|
|
|
This model is a fine-tuned version of [nsi319/legal-pegasus](https://huggingface.co/nsi319/legal-pegasus) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.0662 |
|
|
|
## 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 | 4.5867 | |
|
| 4.446 | 0.18 | 500 | 1.5129 | |
|
| 4.446 | 0.27 | 750 | 1.1850 | |
|
| 1.4139 | 0.35 | 1000 | 1.1565 | |
|
| 1.4139 | 0.44 | 1250 | 1.1347 | |
|
| 1.2342 | 0.53 | 1500 | 1.1204 | |
|
| 1.2342 | 0.62 | 1750 | 1.1115 | |
|
| 1.168 | 0.71 | 2000 | 1.1046 | |
|
| 1.168 | 0.8 | 2250 | 1.0977 | |
|
| 1.1573 | 0.89 | 2500 | 1.0925 | |
|
| 1.1573 | 0.98 | 2750 | 1.0871 | |
|
| 1.177 | 1.06 | 3000 | 1.0816 | |
|
| 1.177 | 1.15 | 3250 | 1.0797 | |
|
| 1.1348 | 1.24 | 3500 | 1.0753 | |
|
| 1.1348 | 1.33 | 3750 | 1.0738 | |
|
| 1.1144 | 1.42 | 4000 | 1.0711 | |
|
| 1.1144 | 1.51 | 4250 | 1.0686 | |
|
| 1.1321 | 1.6 | 4500 | 1.0678 | |
|
| 1.1321 | 1.68 | 4750 | 1.0662 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
