t5-base-finetuned-pubmed

This model is a fine-tuned version of t5-base on the pub_med_summarization_dataset dataset. It achieves the following results on the evaluation set:

• Loss: 2.6311
• Rouge1: 9.3771
• Rouge2: 3.7042
• Rougel: 8.4912
• Rougelsum: 9.0013
• Gen Len: 19.0

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
2.0957	1.0	4000	1.9006	8.6968	3.2473	7.9565	8.3224	19.0
2.0489	2.0	8000	1.8571	8.6877	3.2461	7.9311	8.2991	19.0
2.7345	3.0	12000	2.6112	9.585	3.0129	8.4729	9.1109	19.0
3.0585	4.0	16000	2.7222	9.7011	3.3549	8.6588	9.2646	19.0
2.9437	5.0	20000	2.6311	9.3771	3.7042	8.4912	9.0013	19.0

Framework versions

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