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: 3.0193
- Rouge1: 17.0896
- Rouge2: 8.362
- Rougel: 16.735
- Rougelsum: 16.8131
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 |
|---|---|---|---|---|---|---|---|
| 3.6768 | 1.0 | 1209 | 3.2182 | 17.7059 | 9.3629 | 17.1633 | 17.2774 |
| 3.6447 | 2.0 | 2418 | 3.1029 | 17.4241 | 8.8479 | 16.9706 | 16.9578 |
| 3.4304 | 3.0 | 3627 | 3.0759 | 15.8371 | 7.5702 | 15.2312 | 15.3302 |
| 3.3128 | 4.0 | 4836 | 3.0706 | 16.9745 | 8.7666 | 16.559 | 16.6638 |
| 3.2203 | 5.0 | 6045 | 3.0339 | 16.3788 | 7.769 | 15.9624 | 16.027 |
| 3.1651 | 6.0 | 7254 | 3.0283 | 16.4083 | 8.0507 | 15.9778 | 16.1114 |
| 3.1387 | 7.0 | 8463 | 3.0188 | 16.6289 | 8.2229 | 16.3528 | 16.3952 |
| 3.1139 | 8.0 | 9672 | 3.0193 | 17.0896 | 8.362 | 16.735 | 16.8131 |
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