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---
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
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