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: 3.0283
- Rouge1: 17.0616
- Rouge2: 8.1283
- Rougel: 16.6434
- Rougelsum: 16.5615
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 6.7874 | 1.0 | 1209 | 3.3081 | 13.8568 | 5.3053 | 13.2999 | 13.2358 |
| 3.9088 | 2.0 | 2418 | 3.1782 | 16.3678 | 8.6126 | 15.9378 | 15.9707 |
| 3.5883 | 3.0 | 3627 | 3.1074 | 17.862 | 8.7925 | 17.2359 | 17.1558 |
| 3.4174 | 4.0 | 4836 | 3.0686 | 17.2836 | 8.8083 | 16.6237 | 16.6587 |
| 3.3103 | 5.0 | 6045 | 3.0487 | 16.4615 | 7.9347 | 15.9351 | 15.9312 |
| 3.251 | 6.0 | 7254 | 3.0379 | 16.9982 | 8.1573 | 16.5562 | 16.5036 |
| 3.2022 | 7.0 | 8463 | 3.0252 | 17.4796 | 8.4263 | 17.0159 | 16.9812 |
| 3.1725 | 8.0 | 9672 | 3.0283 | 17.0616 | 8.1283 | 16.6434 | 16.5615 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
google/mt5-small