flan-t5-small-tigger

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

• Loss: 2.1738
• Rouge1: 17.6332
• Rouge2: 10.2475
• Rougel: 17.5233
• Rougelsum: 17.5252
• Gen Len: 16.59

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.469	1.0	1800	2.2623	19.2526	13.4607	19.2285	19.2089	10.9481
2.3176	2.0	3600	2.2014	17.1109	10.2435	17.0312	17.0412	15.6308
2.264	3.0	5400	2.1789	17.5631	10.4188	17.428	17.4439	16.7186
2.231	4.0	7200	2.1738	17.6332	10.2475	17.5233	17.5252	16.59

Framework versions

• Transformers 4.29.1
• Pytorch 2.0.0
• Datasets 2.12.0
• Tokenizers 0.13.3