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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: 3.2197
- Rouge1: 23.7209
- Rouge2: 12.4611
- Rougel: 22.745
- Rougelsum: 22.8085
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 |
|---|---|---|---|---|---|---|---|
| 3.2981 | 1.0 | 589 | 3.2505 | 21.3203 | 11.2834 | 20.3564 | 20.3812 |
| 3.2017 | 2.0 | 1178 | 3.2563 | 21.5285 | 10.7337 | 20.7505 | 20.5952 |
| 3.1031 | 3.0 | 1767 | 3.2636 | 23.6856 | 12.5802 | 22.6568 | 22.5633 |
| 3.0303 | 4.0 | 2356 | 3.2242 | 23.4492 | 12.3205 | 22.3518 | 22.3521 |
| 2.9808 | 5.0 | 2945 | 3.2281 | 24.2603 | 12.6434 | 23.1527 | 23.2443 |
| 2.9519 | 6.0 | 3534 | 3.2146 | 24.5639 | 13.5995 | 23.8336 | 23.8418 |
| 2.9125 | 7.0 | 4123 | 3.2226 | 23.9892 | 12.9918 | 23.3101 | 23.3465 |
| 2.9058 | 8.0 | 4712 | 3.2197 | 23.7209 | 12.4611 | 22.745 | 22.8085 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3
