billsum-full-data

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

• Loss: 1.6583
• Rouge1: 18.0383
• Rouge2: 14.8462
• Rougel: 17.6086
• Rougelsum: 17.6843

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: 5e-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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.1401	1.0	8101	1.8087	17.8461	14.6015	17.3956	17.4842
1.7596	2.0	16202	1.6980	18.0568	14.7833	17.6068	17.6999
1.5789	3.0	24303	1.6583	18.0383	14.8462	17.6086	17.6843

Framework versions

• Transformers 4.29.1
• Pytorch 2.0.0
• Datasets 2.12.0
• Tokenizers 0.13.3