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mt5-small-finetuned-amazon-en-kitchen-reviews
This model is a fine-tuned version of google/mt5-small on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:
- Loss: 1.0960
- Rouge1: 19.1669
- Rouge2: 10.8937
- Rougel: 18.6296
- Rougelsum: 18.7486
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 13.803 | 1.0 | 827 | 2.4239 | 1.7983 | 0.0 | 1.8317 | 1.7854 |
| 1.938 | 2.0 | 1654 | 1.2836 | 14.9804 | 4.7997 | 14.3848 | 14.4255 |
| 1.2922 | 3.0 | 2481 | 1.1718 | 16.3574 | 7.2689 | 15.6126 | 15.5685 |
| 1.1463 | 4.0 | 3308 | 1.1265 | 17.6554 | 8.9813 | 17.1575 | 17.2073 |
| 1.078 | 5.0 | 4135 | 1.1085 | 19.2978 | 11.5604 | 18.8279 | 18.9399 |
| 1.0453 | 6.0 | 4962 | 1.1070 | 19.3828 | 11.0161 | 18.7636 | 18.9002 |
| 1.0233 | 7.0 | 5789 | 1.1004 | 19.0604 | 10.5071 | 18.341 | 18.4669 |
| 1.012 | 8.0 | 6616 | 1.0960 | 19.1669 | 10.8937 | 18.6296 | 18.7486 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
