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: 17.0422
- Rouge2: 8.2568
- Rougel: 16.66
- Rougelsum: 16.5239
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 |
|---|---|---|---|---|---|---|---|
| 6.7874 | 1.0 | 1209 | 3.3081 | 13.7446 | 5.3855 | 13.3529 | 13.2457 |
| 3.9088 | 2.0 | 2418 | 3.1782 | 16.248 | 8.6744 | 16.004 | 15.9224 |
| 3.5883 | 3.0 | 3627 | 3.1074 | 17.7575 | 9.0039 | 17.3087 | 17.1618 |
| 3.4174 | 4.0 | 4836 | 3.0686 | 17.1698 | 8.7835 | 16.8093 | 16.7039 |
| 3.3103 | 5.0 | 6045 | 3.0487 | 16.4408 | 8.0018 | 16.0564 | 15.8923 |
| 3.251 | 6.0 | 7254 | 3.0379 | 16.9722 | 8.2897 | 16.636 | 16.5131 |
| 3.2022 | 7.0 | 8463 | 3.0252 | 17.3609 | 8.5806 | 17.0055 | 16.9507 |
| 3.1725 | 8.0 | 9672 | 3.0283 | 17.0422 | 8.2568 | 16.66 | 16.5239 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
google/mt5-small