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