mt5-small-finetuned-amazon-en-zh_TW
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: 3.2408
- Rouge1: 15.8831
- Rouge2: 7.1676
- Rougel: 15.5523
- Rougelsum: 15.4954
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 7.5388 | 1.0 | 838 | 3.5888 | 12.6081 | 5.3611 | 12.3495 | 12.2926 |
| 4.0043 | 2.0 | 1676 | 3.4038 | 13.8517 | 6.3417 | 13.4755 | 13.4913 |
| 3.6776 | 3.0 | 2514 | 3.3294 | 15.1519 | 7.3842 | 14.8844 | 14.8458 |
| 3.4929 | 4.0 | 3352 | 3.2668 | 15.6067 | 7.4016 | 15.3715 | 15.2908 |
| 3.387 | 5.0 | 4190 | 3.2855 | 15.0546 | 7.3065 | 14.8271 | 14.7755 |
| 3.302 | 6.0 | 5028 | 3.2457 | 15.0213 | 6.6597 | 14.6131 | 14.5641 |
| 3.2806 | 7.0 | 5866 | 3.2408 | 15.8831 | 7.1676 | 15.5523 | 15.4954 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6
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