---
base_model: google/pegasus-xsum
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 [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2285

## 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  | 4.6668          |
| 4.9697        | 0.18  | 500  | 4.1227          |
| 4.9697        | 0.27  | 750  | 1.4700          |
| 2.5705        | 0.36  | 1000 | 1.2933          |
| 2.5705        | 0.46  | 1250 | 1.2669          |
| 1.4047        | 0.55  | 1500 | 1.2507          |
| 1.4047        | 0.64  | 1750 | 1.2454          |
| 1.3544        | 0.73  | 2000 | 1.2566          |
| 1.3544        | 0.82  | 2250 | 1.2464          |
| 1.342         | 0.91  | 2500 | 1.2393          |
| 1.342         | 1.0   | 2750 | 1.2349          |
| 1.3258        | 1.09  | 3000 | 1.2312          |
| 1.3258        | 1.18  | 3250 | 1.2288          |
| 1.3196        | 1.27  | 3500 | 1.2258          |
| 1.3196        | 1.37  | 3750 | 1.2251          |
| 1.3233        | 1.46  | 4000 | 1.2233          |
| 1.3233        | 1.55  | 4250 | 1.2259          |
| 1.2873        | 1.64  | 4500 | 1.2274          |
| 1.2873        | 1.73  | 4750 | 1.2285          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2