metadata
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Super_legal_text_summarizer
results: []
Super_legal_text_summarizer
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8242
- Rouge1: 0.4168
- Rouge2: 0.1843
- Rougel: 0.26
- Rougelsum: 0.2614
- Gen Len: 126.1232
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: 5e-06
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 0.9889 | 67 | 2.0691 | 0.3965 | 0.1608 | 0.2317 | 0.2325 | 134.8522 |
| No log | 1.9926 | 135 | 1.9581 | 0.4184 | 0.1826 | 0.2539 | 0.255 | 133.4433 |
| No log | 2.9963 | 203 | 1.9041 | 0.4129 | 0.1792 | 0.2554 | 0.2563 | 127.0591 |
| No log | 4.0 | 271 | 1.8745 | 0.4111 | 0.1769 | 0.2579 | 0.2586 | 126.7635 |
| No log | 4.9889 | 338 | 1.8539 | 0.4122 | 0.1754 | 0.258 | 0.2586 | 126.0542 |
| No log | 5.9926 | 406 | 1.8414 | 0.4197 | 0.1806 | 0.2603 | 0.2613 | 130.8177 |
| No log | 6.9963 | 474 | 1.8334 | 0.4058 | 0.1712 | 0.2532 | 0.2539 | 126.1281 |
| 1.9669 | 8.0 | 542 | 1.8284 | 0.4129 | 0.1818 | 0.2587 | 0.2596 | 125.798 |
| 1.9669 | 8.9889 | 609 | 1.8246 | 0.4129 | 0.1802 | 0.257 | 0.2582 | 126.6158 |
| 1.9669 | 9.8893 | 670 | 1.8242 | 0.4168 | 0.1843 | 0.26 | 0.2614 | 126.1232 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1