T5_large_billsum_fine_tune_base_model_3_epoch

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

• Loss: 0.9541
• Rouge1: 0.2489
• Rouge2: 0.2083
• Rougel: 0.2424
• Rougelsum: 0.2424
• 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: 3e-05
• train_batch_size: 10
• eval_batch_size: 10
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.1242	1.0	1895	0.9894	0.2482	0.2063	0.2411	0.2411	19.0
1.0324	2.0	3790	0.9594	0.2493	0.2082	0.2426	0.2426	19.0
1.0014	3.0	5685	0.9541	0.2489	0.2083	0.2424	0.2424	19.0

Framework versions

• Transformers 4.35.0.dev0
• Pytorch 1.12.1+cu116
• Datasets 2.4.0
• Tokenizers 0.14.1