my_awesome_billsum_model2

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

• Loss: 2.2248
• Rouge1: 0.1973
• Rouge2: 0.1019
• Rougel: 0.1683
• Rougelsum: 0.168
• 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: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.2982	1.0	989	2.2248	0.1973	0.1019	0.1683	0.168	19.0

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1
• Datasets 2.13.0
• Tokenizers 0.13.3