bart-large-cnn-finetuned-scope-summarization
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: 0.1165
- Rouge1: 55.7822
- Rouge2: 41.9699
- Rougel: 47.2427
- Rougelsum: 47.1372
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: 5.6e-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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.613 | 1.0 | 35 | 0.2146 | 42.8394 | 24.2808 | 31.8024 | 31.7805 |
| 0.1987 | 2.0 | 70 | 0.1989 | 46.2492 | 30.694 | 36.6481 | 36.5135 |
| 0.1939 | 3.0 | 105 | 0.1792 | 47.7166 | 31.8667 | 38.5667 | 38.526 |
| 0.1663 | 4.0 | 140 | 0.1642 | 49.6835 | 34.7278 | 39.5294 | 39.4623 |
| 0.1711 | 5.0 | 175 | 0.1555 | 51.6538 | 35.9915 | 40.1589 | 40.1665 |
| 0.1577 | 6.0 | 210 | 0.1443 | 50.4306 | 35.9713 | 40.4836 | 40.4492 |
| 0.1511 | 7.0 | 245 | 0.1367 | 55.8887 | 43.2295 | 49.0124 | 48.9803 |
| 0.1425 | 8.0 | 280 | 0.1306 | 56.2433 | 41.4182 | 45.9078 | 45.9027 |
| 0.1255 | 9.0 | 315 | 0.1191 | 57.3464 | 43.7543 | 47.335 | 47.3058 |
| 0.1299 | 10.0 | 350 | 0.1165 | 55.7822 | 41.9699 | 47.2427 | 47.1372 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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