bart-large-finetuned-pubmed

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

• Loss: 1.8135
• Rouge1: 10.946
• Rouge2: 5.0933
• Rougel: 9.5608
• Rougelsum: 10.4259
• Gen Len: 19.0495

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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.0861	1.0	4000	1.8909	8.7344	3.6919	7.8804	8.3305	20.0
1.8996	2.0	8000	1.8261	10.2124	4.6212	8.9842	9.7417	17.632
1.7459	3.0	12000	1.8160	9.4933	4.4117	8.3977	9.0758	16.4775
1.6258	4.0	16000	1.8136	10.8248	5.0335	9.4286	10.3123	18.724
1.5214	5.0	20000	1.8135	10.946	5.0933	9.5608	10.4259	19.0495

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.0+cu111
• Datasets 1.18.3
• Tokenizers 0.11.6