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: 3.0280
- Rouge1: 17.3563
- Rouge2: 8.6193
- Rougel: 17.081
- Rougelsum: 17.1297
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 |
|---|---|---|---|---|---|---|---|
| 7.0507 | 1.0 | 1209 | 3.3225 | 12.6324 | 4.7979 | 12.3957 | 12.4312 |
| 3.9068 | 2.0 | 2418 | 3.1852 | 16.432 | 8.2165 | 15.7321 | 15.789 |
| 3.5973 | 3.0 | 3627 | 3.0834 | 16.912 | 8.2736 | 16.3027 | 16.3174 |
| 3.4111 | 4.0 | 4836 | 3.0560 | 16.8768 | 8.0417 | 16.209 | 16.2473 |
| 3.318 | 5.0 | 6045 | 3.0464 | 17.5367 | 8.364 | 16.9286 | 16.9249 |
| 3.2435 | 6.0 | 7254 | 3.0371 | 17.3217 | 8.398 | 16.9066 | 17.0021 |
| 3.202 | 7.0 | 8463 | 3.0347 | 17.1712 | 8.0887 | 16.7378 | 16.748 |
| 3.1799 | 8.0 | 9672 | 3.0280 | 17.3563 | 8.6193 | 17.081 | 17.1297 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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Base model
google/mt5-small