metadata
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: legal_text_summarizer
results: []
legal_text_summarizer
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5451
- Rouge1: 0.1861
- Rouge2: 0.1106
- Rougel: 0.1654
- Rougelsum: 0.17
- Gen Len: 20.0
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 124 | 1.6742 | 0.1765 | 0.1017 | 0.1569 | 0.1611 | 20.0 |
| No log | 2.0 | 248 | 1.5853 | 0.1829 | 0.1059 | 0.1618 | 0.1661 | 20.0 |
| No log | 3.0 | 372 | 1.5608 | 0.1745 | 0.1041 | 0.156 | 0.1597 | 20.0 |
| No log | 4.0 | 496 | 1.5451 | 0.1861 | 0.1106 | 0.1654 | 0.17 | 20.0 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2