t5-small-finetuned-eLife

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.8960
• Rouge1: 14.7239
• Rouge2: 2.8698
• Rougel: 11.0202
• Rougelsum: 13.3642
• 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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
3.3558	1.0	544	2.9587	13.7915	2.6556	10.3265	12.5097	19.0
3.1299	2.0	1088	2.9079	14.7136	2.7492	10.836	13.3664	19.0
3.0917	3.0	1632	2.8960	14.7239	2.8698	11.0202	13.3642	19.0

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2