bart-large-finetuned-pubmed-finetuned-eheath-pubmed
This model is a fine-tuned version of Kevincp560/bart-large-finetuned-pubmed on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6994
- Rouge1: 8.4409
- Rouge2: 2.0617
- Rougel: 6.7452
- Rougelsum: 8.1365
- Gen Len: 19.9994
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.3576 | 1.0 | 22880 | 2.6994 | 8.4409 | 2.0617 | 6.7452 | 8.1365 | 19.9994 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3