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bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-bbc-news-extracted-sumy
This model is a fine-tuned version of mrm8488/bert-small2bert-small-finetuned-cnn_daily_mail-summarization on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3228
- Rouge1: 56.5706
- Rouge2: 43.0906
- Rougel: 47.9957
- Rougelsum: 53.417
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.3226 | 1.0 | 223 | 0.3225 | 55.7639 | 41.9414 | 46.9804 | 52.5639 |
| 0.262 | 2.0 | 446 | 0.3198 | 55.7522 | 42.0929 | 46.8388 | 52.6659 |
| 0.2153 | 3.0 | 669 | 0.3195 | 55.7091 | 42.2111 | 47.2641 | 52.5765 |
| 0.1805 | 4.0 | 892 | 0.3164 | 55.8115 | 42.5536 | 47.3529 | 52.7672 |
| 0.1527 | 5.0 | 1115 | 0.3203 | 56.8658 | 43.4238 | 48.2268 | 53.8136 |
| 0.14 | 6.0 | 1338 | 0.3234 | 55.7138 | 41.8562 | 46.8362 | 52.5201 |
| 0.1252 | 7.0 | 1561 | 0.3228 | 56.5706 | 43.0906 | 47.9957 | 53.417 |
| 0.1229 | 8.0 | 1784 | 0.3228 | 56.5706 | 43.0906 | 47.9957 | 53.417 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
