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: 3.3101
- Rouge1: 13.2641
- Rouge2: 4.7733
- Rougel: 13.0439
- Rougelsum: 13.1146
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|
| 4.1164 | 1.0 | 565 | 3.5818 | 12.0154 | 3.1674 | 11.9107 | 11.8538 |
| 3.8955 | 2.0 | 1130 | 3.4628 | 11.1762 | 3.135 | 11.0969 | 11.0566 |
| 3.6555 | 3.0 | 1695 | 3.3872 | 12.5361 | 4.2116 | 12.4509 | 12.3869 |
| 3.5088 | 4.0 | 2260 | 3.3396 | 12.6856 | 4.2888 | 12.4772 | 12.4739 |
| 3.4233 | 5.0 | 2825 | 3.3386 | 12.3451 | 4.269 | 12.1469 | 12.2031 |
| 3.3535 | 6.0 | 3390 | 3.3160 | 12.7596 | 4.6932 | 12.504 | 12.5963 |
| 3.3182 | 7.0 | 3955 | 3.3172 | 13.2367 | 5.0141 | 12.9874 | 13.1011 |
| 3.2891 | 8.0 | 4520 | 3.3101 | 13.2641 | 4.7733 | 13.0439 | 13.1146 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
google/mt5-small