results
This model is a fine-tuned version of 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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Base model
0-hero/led-large-legal-summary