<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
bart-base-finetuned-arxiv
This model is a fine-tuned version of facebook/bart-base on the scientific_papers dataset. It achieves the following results on the evaluation set:
- Loss: 2.2912
- Rouge1: 13.6917
- Rouge2: 5.9564
- Rougel: 11.1734
- Rougelsum: 12.6817
- Gen Len: 19.9992
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.6027 | 1.0 | 6345 | 2.4504 | 13.3687 | 5.603 | 10.8671 | 12.3297 | 20.0 |
| 2.4807 | 2.0 | 12690 | 2.3561 | 13.6207 | 5.855 | 11.1073 | 12.594 | 20.0 |
| 2.4041 | 3.0 | 19035 | 2.3035 | 13.6222 | 5.8863 | 11.1173 | 12.5984 | 20.0 |
| 2.3716 | 4.0 | 25380 | 2.2912 | 13.6917 | 5.9564 | 11.1734 | 12.6817 | 19.9992 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.1+cu102
- Datasets 1.12.1
- Tokenizers 0.10.3
