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---
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: 1.2372
## 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 | 5.0401 |
| 5.3054 | 0.18 | 500 | 4.4391 |
| 5.3054 | 0.27 | 750 | 1.5152 |
| 2.5975 | 0.35 | 1000 | 1.2862 |
| 2.5975 | 0.44 | 1250 | 1.2813 |
| 1.4501 | 0.53 | 1500 | 1.2620 |
| 1.4501 | 0.62 | 1750 | 1.2487 |
| 1.4 | 0.71 | 2000 | 1.2405 |
| 1.4 | 0.8 | 2250 | 1.2385 |
| 1.4058 | 0.89 | 2500 | 1.2410 |
| 1.4058 | 0.98 | 2750 | 1.2372 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|