fine-tuned-flant5

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: 0.4023
• Rouge1: 13.0421
• Rouge2: 0.0
• Rougel: 12.133
• Rougelsum: 11.2239
• Gen Len: 20.0

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• 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
1.2905	1.0	16	0.4953	14.9876	2.7273	14.1853	14.9583	19.6
0.5457	2.0	32	0.4216	11.3968	0.0	10.4877	10.4877	20.0
0.4864	3.0	48	0.4023	13.0421	0.0	12.133	11.2239	20.0

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.19.1
• Tokenizers 0.15.2