flan-t5-base-13713

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

• Loss: 1.5227
• Rouge1: 15.5402
• Rouge2: 9.6095
• Rougel: 14.0867
• Rougelsum: 14.8218
• Gen Len: 18.9316

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.9619	1.0	1908	1.6707	15.1982	9.312	13.8105	14.5284	18.9717
1.8021	2.0	3816	1.5866	15.4256	9.522	13.9826	14.7357	18.9251
1.7247	3.0	5724	1.5497	15.4466	9.5677	14.0187	14.7678	18.9304
1.6722	4.0	7632	1.5285	15.6321	9.7206	14.2157	14.9454	18.9322
1.6571	5.0	9540	1.5227	15.5402	9.6095	14.0867	14.8218	18.9316

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.2+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0