mt5-small-finetuned-amazon-en-es
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0961
- Rouge1: 18.0893
- Rouge2: 8.8114
- Rougel: 17.2241
- Rougelsum: 17.3175
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 6.8796 | 1.0 | 1209 | 3.3045 | 15.001 | 6.3129 | 14.4408 | 14.521 |
| 3.9359 | 2.0 | 2418 | 3.1826 | 15.9318 | 7.5821 | 15.1938 | 15.235 |
| 3.6446 | 3.0 | 3627 | 3.1361 | 17.4174 | 8.7074 | 16.6003 | 16.7056 |
| 3.5156 | 4.0 | 4836 | 3.1162 | 17.6097 | 8.5954 | 16.8641 | 16.9235 |
| 3.4365 | 5.0 | 6045 | 3.0961 | 18.0893 | 8.8114 | 17.2241 | 17.3175 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Tokenizers 0.20.3
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Base model
google/mt5-small