---
library_name: transformers
base_model: 0-hero/led-large-legal-summary
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [0-hero/led-large-legal-summary](https://huggingface.co/0-hero/led-large-legal-summary) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1953

## 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: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3391        | 1.0   | 515  | 2.3141          |
| 1.9654        | 2.0   | 1030 | 2.2136          |
| 1.815         | 3.0   | 1545 | 2.1874          |
| 1.7097        | 4.0   | 2060 | 2.1793          |
| 1.5982        | 5.0   | 2575 | 2.1953          |


### Framework versions

- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0