bart-large-cnn
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2783
- Rouge1: 30.8678
- Rouge2: 14.3602
- Rougel: 25.3974
- Rougelsum: 28.9927
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: 1
- eval_batch_size: 1
- 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 |
|---|
| No log | 1.0 | 50 | 3.3345 | 27.661 | 11.692 | 22.9317 | 25.4531 |
| No log | 2.0 | 100 | 3.1512 | 31.6643 | 13.9022 | 24.8236 | 30.3283 |
| No log | 3.0 | 150 | 3.2783 | 30.8678 | 14.3602 | 25.3974 | 28.9927 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
