bigbird-pegasus-large-bigpatent-finetuned-pubMed

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

• Loss: 1.5403
• Rouge1: 45.0851
• Rouge2: 19.5488
• Rougel: 27.391
• Rougelsum: 41.112
• Gen Len: 231.608

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.1198	1.0	500	1.6285	43.0579	18.1792	26.421	39.0769	214.924
1.6939	2.0	1000	1.5696	44.0679	18.9331	26.84	40.0684	222.814
1.6195	3.0	1500	1.5506	44.7352	19.3532	27.2418	40.7454	229.396
1.5798	4.0	2000	1.5403	45.0415	19.5019	27.2969	40.951	231.044
1.5592	5.0	2500	1.5403	45.0851	19.5488	27.391	41.112	231.608

Framework versions

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