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mt5-small-finetuned-amazon-en-es
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: 3.0294
- Rouge1: 16.4909
- Rouge2: 7.9422
- Rougel: 16.3139
- Rougelsum: 16.3615
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 |
|---|---|---|---|---|---|---|---|
| 6.5928 | 1.0 | 1209 | 3.3005 | 14.6517 | 6.5194 | 14.3474 | 14.2801 |
| 3.9024 | 2.0 | 2418 | 3.1399 | 16.744 | 8.6706 | 16.0952 | 16.1512 |
| 3.5806 | 3.0 | 3627 | 3.0869 | 18.0041 | 9.2385 | 17.718 | 17.6889 |
| 3.4201 | 4.0 | 4836 | 3.0590 | 17.5844 | 8.972 | 17.1709 | 17.2169 |
| 3.3202 | 5.0 | 6045 | 3.0598 | 17.5762 | 8.6036 | 17.3677 | 17.3708 |
| 3.2436 | 6.0 | 7254 | 3.0409 | 16.7641 | 8.19 | 16.6109 | 16.5899 |
| 3.2079 | 7.0 | 8463 | 3.0332 | 16.6917 | 8.1747 | 16.4958 | 16.527 |
| 3.1801 | 8.0 | 9672 | 3.0294 | 16.4909 | 7.9422 | 16.3139 | 16.3615 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
