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