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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: 3.0340
- Rouge1: 17.3066
- Rouge2: 8.5372
- Rougel: 16.9577
- Rougelsum: 17.1267
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 |
|---|---|---|---|---|---|---|---|
| 7.0197 | 1.0 | 1209 | 3.3037 | 13.7225 | 5.4609 | 13.1771 | 13.2052 |
| 3.9145 | 2.0 | 2418 | 3.1418 | 15.6039 | 7.5306 | 14.9366 | 14.865 |
| 3.5987 | 3.0 | 3627 | 3.0970 | 17.425 | 8.6602 | 16.9049 | 17.0042 |
| 3.4274 | 4.0 | 4836 | 3.0672 | 16.7739 | 8.0707 | 16.2041 | 16.2127 |
| 3.3241 | 5.0 | 6045 | 3.0648 | 16.6489 | 8.2121 | 16.3527 | 16.4147 |
| 3.2468 | 6.0 | 7254 | 3.0444 | 17.3052 | 8.6923 | 16.9398 | 17.0233 |
| 3.2116 | 7.0 | 8463 | 3.0370 | 17.563 | 8.7613 | 17.1755 | 17.3348 |
| 3.1821 | 8.0 | 9672 | 3.0340 | 17.3066 | 8.5372 | 16.9577 | 17.1267 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
