distill-pegasus-cnn-16-4-finetuned-arxiv
This model is a fine-tuned version of sshleifer/distill-pegasus-cnn-16-4 on the scientific_papers dataset. It achieves the following results on the evaluation set:
- Loss: 3.2938
- Rouge1: 31.2728
- Rouge2: 10.8703
- Rougel: 20.7479
- Rougelsum: 27.6892
- Gen Len: 98.7916
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: 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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.6506 | 1.0 | 12690 | 3.2938 | 31.2728 | 10.8703 | 20.7479 | 27.6892 | 98.7916 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1