distilbart-cnn-12-6-finetuned-arxiv-pubmed
This model is a fine-tuned version of theojolliffe/distilbart-cnn-12-6-finetuned-arxiv on the scientific_papers dataset. It achieves the following results on the evaluation set:
- Loss: 2.2214
- Rouge1: 35.9398
- Rouge2: 14.8037
- Rougel: 22.4263
- Rougelsum: 32.4106
- Gen Len: 135.5783
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 |
|---|---|---|---|---|---|---|---|---|
| 2.4342 | 1.0 | 7496 | 2.2214 | 35.9398 | 14.8037 | 22.4263 | 32.4106 | 135.5783 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1