bart-large-cnn-ext15
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9309
- Rouge1: 28.3399
- Rouge2: 9.8878
- Rougel: 20.3979
- Rougelsum: 21.9156
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.3549 | 1.0 | 2676 | 2.0725 | 27.7488 | 9.0655 | 19.7904 | 21.4815 |
| 1.7988 | 2.0 | 5352 | 1.9467 | 28.0297 | 9.5377 | 20.178 | 21.6432 |
| 1.4594 | 3.0 | 8028 | 1.9309 | 28.3399 | 9.8878 | 20.3979 | 21.9156 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
facebook/bart-large-cnn