senate_bills_summary_model

This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.9849
• Rouge1: 0.2462
• Rouge2: 0.1934
• Rougel: 0.2389
• Rougelsum: 0.2389
• Gen Len: 18.9981

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: 14
• eval_batch_size: 14
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.7477	1.0	749	2.1012	0.2474	0.192	0.2397	0.2396	18.9992
2.3215	2.0	1498	2.0257	0.2464	0.1931	0.2391	0.239	18.9992
2.2304	3.0	2247	1.9963	0.2459	0.1933	0.2386	0.2386	18.9989
2.194	4.0	2996	1.9849	0.2462	0.1934	0.2389	0.2389	18.9981

Framework versions

• Transformers 4.42.4
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1