pegasus-large-finetuned-Pubmed

This model is a fine-tuned version of google/pegasus-large on the pub_med_summarization_dataset dataset. It achieves the following results on the evaluation set:

• Loss: 1.7669
• Rouge1: 39.1107
• Rouge2: 15.4127
• Rougel: 24.3729
• Rougelsum: 35.1236
• Gen Len: 226.594

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.065	1.0	1000	1.8262	37.1986	14.3685	23.7153	33.0713	218.902
1.9552	2.0	2000	1.7933	38.0663	14.7813	23.8412	33.9574	217.488
1.8983	3.0	3000	1.7768	38.3975	15.0983	24.0247	34.314	222.32
1.882	4.0	4000	1.7687	39.1311	15.4167	24.2978	35.078	222.564
1.8456	5.0	5000	1.7669	39.1107	15.4127	24.3729	35.1236	226.594

Framework versions

• Transformers 4.17.0
• Pytorch 1.9.1
• Datasets 1.18.4
• Tokenizers 0.11.6