t5-small-finetuned-eLife-tfg

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

• Loss: 2.9086
• Rouge1: 14.1818
• Rouge2: 2.6381
• Rougel: 10.4961
• Rougelsum: 12.8458
• 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
No log	1.0	459	2.9705	13.2225	2.4541	10.0332	11.9703	19.0
3.3543	2.0	918	2.9211	13.9672	2.601	10.3831	12.6062	19.0
3.1411	3.0	1377	2.9086	14.1818	2.6381	10.4961	12.8458	19.0

Framework versions

• Transformers 4.27.1
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2