bart-base-finetuned-xlsum
This model is a fine-tuned version of facebook/bart-base on the xlsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.8367
- Rouge1: 36.7016
- Rouge2: 15.3377
- Rougel: 29.8655
- Rougelsum: 29.9287
- Gen Len: 19.571
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.0991 | 1.0 | 19158 | 1.8367 | 36.7016 | 15.3377 | 29.8655 | 29.9287 | 19.571 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.10.3