t5-small-finetuned-amazon-en-es

This model is a fine-tuned version of t5-small on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:

• Loss: 3.2051
• Rouge1: 18.3942
• Rouge2: 10.0117
• Rougel: 17.8072
• Rougelsum: 17.6892

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: 5.6e-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
3.3683	1.0	771	3.2776	17.0544	8.6801	16.2879	16.2216
3.1169	2.0	1542	3.2130	17.9604	9.6818	17.0806	16.9609
3.0393	3.0	2313	3.2003	18.123	9.554	17.2701	17.127
3.0017	4.0	3084	3.2051	18.3942	10.0117	17.8072	17.6892

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3