my_awesome_billsum_model

This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 4.3085
• Rouge1: 0.0601
• Rouge2: 0.0182
• Rougel: 0.0512
• Rougelsum: 0.0499
• 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: 16
• eval_batch_size: 16
• 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
No log	1.0	1	4.7837	0.0601	0.0182	0.0512	0.0499	19.0
No log	2.0	2	4.5061	0.0601	0.0182	0.0512	0.0499	19.0
No log	3.0	3	4.4240	0.0601	0.0182	0.0512	0.0499	19.0
No log	4.0	4	4.3085	0.0601	0.0182	0.0512	0.0499	19.0

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2