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mt5-small-finetuned-amazon-en-zh
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3029
- Rouge1: 16.5328
- Rouge2: 7.1687
- Rougel: 15.8574
- Rougelsum: 16.1506
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|---|---|---|
| 6.5452 | 1.0 | 1676 | 3.5344 | 13.2336 | 4.9489 | 12.9231 | 13.033 |
| 3.803 | 2.0 | 3352 | 3.3963 | 14.814 | 6.2391 | 14.2581 | 14.4316 |
| 3.4981 | 3.0 | 5028 | 3.3262 | 16.6892 | 7.7862 | 15.9537 | 16.1894 |
| 3.3061 | 4.0 | 6704 | 3.3111 | 15.4591 | 7.1128 | 14.6644 | 14.7762 |
| 3.2023 | 5.0 | 8380 | 3.3039 | 15.7126 | 7.1817 | 14.895 | 15.1448 |
| 3.1173 | 6.0 | 10056 | 3.3094 | 16.1592 | 7.609 | 15.4639 | 15.5988 |
| 3.0803 | 7.0 | 11732 | 3.2999 | 16.2882 | 7.1004 | 15.7029 | 15.8878 |
| 3.0539 | 8.0 | 13408 | 3.3029 | 16.5328 | 7.1687 | 15.8574 | 16.1506 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
