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distilbart-cnn-arxiv-pubmed-pubmed
This model is a fine-tuned version of theojolliffe/distilbart-cnn-arxiv-pubmed on the scientific_papers dataset. It achieves the following results on the evaluation set:
- Loss: 2.1171
- Rouge1: 36.6704
- Rouge2: 14.9713
- Rougel: 22.6149
- Rougelsum: 33.3591
- Gen Len: 136.8372
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: 2
- eval_batch_size: 2
- 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 |
|---|---|---|---|---|---|---|---|---|
| 2.2556 | 1.0 | 14991 | 2.1171 | 36.6704 | 14.9713 | 22.6149 | 33.3591 | 136.8372 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
