my_awesome_billsum_model_10

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: 1.2479
• Rouge1: 0.4356
• Rouge2: 0.3223
• Rougel: 0.4176
• Rougelsum: 0.4181
• Gen Len: 16.0417

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	12	2.0694	0.4045	0.2872	0.3849	0.3843	17.6042
No log	2.0	24	1.6633	0.4119	0.2976	0.3919	0.3914	17.4792
No log	3.0	36	1.3738	0.4404	0.3235	0.4195	0.4193	16.2917
No log	4.0	48	1.2479	0.4356	0.3223	0.4176	0.4181	16.0417

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1