my_awesome_billsum_model

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

• Loss: 7.1407
• Rouge1: 0.0496
• Rouge2: 0.0168
• Rougel: 0.0496
• Rougelsum: 0.0496
• Gen Len: 8.0

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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	1	7.4203	0.0496	0.0168	0.0496	0.0496	8.0
No log	2.0	2	7.4203	0.0496	0.0168	0.0496	0.0496	8.0
No log	3.0	3	7.3000	0.0496	0.0168	0.0496	0.0496	8.0
No log	4.0	4	7.1407	0.0496	0.0168	0.0496	0.0496	8.0

Framework versions

• Transformers 4.32.1
• Pytorch 2.1.2+cu118
• Datasets 2.16.1
• Tokenizers 0.13.3