t5-small-finetuned-amazon-en

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:

• eval_loss: 5.1622
• eval_rouge1: 14.7056
• eval_rouge2: 6.5373
• eval_rougeL: 13.8753
• eval_rougeLsum: 13.9924
• eval_runtime: 3.8484
• eval_samples_per_second: 35.08
• eval_steps_per_second: 4.417
• step: 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: 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: 100

Framework versions

• Transformers 4.26.0
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2