legal-bart-base
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5994
- Rouge1: 27.0214
- Rouge2: 10.6408
- Rougel: 23.7088
- Rougelsum: 24.2952
- Gen Len: 15.7444
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: 8
- eval_batch_size: 16
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 45 | 2.6655 | 27.2712 | 11.3577 | 24.0401 | 24.6116 | 15.0778 |
| No log | 2.0 | 90 | 2.5994 | 27.0214 | 10.6408 | 23.7088 | 24.2952 | 15.7444 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0