pegasus-cnn_dailymail-finetuned-pubmed

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

• Loss: 1.8050
• Rouge1: 37.2569
• Rouge2: 15.8205
• Rougel: 24.1969
• Rougelsum: 34.0331
• Gen Len: 125.892

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
2.2449	1.0	1000	1.8942	36.4494	14.9948	23.8279	33.3081	124.482
2.0803	2.0	2000	1.8440	36.998	15.4992	24.091	33.6614	125.678
2.0166	3.0	3000	1.8176	37.4703	16.0358	24.5735	34.1789	125.094
1.9911	4.0	4000	1.8055	37.1338	15.7921	24.1412	33.8293	125.874
1.9419	5.0	5000	1.8050	37.2569	15.8205	24.1969	34.0331	125.892

Framework versions

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