mt5-small
This model was trained from scratch on TEC-JL Japanese learner error corpus dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0758
- Bleu: 67.2605
- Gen Len: 13.051
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: 2e-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: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|
| 1.0485 | 1.0 | 3125 | 0.7139 | 0.0061 | 13.051 |
| 0.2413 | 2.0 | 6250 | 0.1114 | 53.3974 | 13.056 |
| 0.1153 | 3.0 | 9375 | 0.0937 | 61.71 | 13.056 |
| 0.0918 | 4.0 | 12500 | 0.0867 | 63.8407 | 13.056 |
| 0.0819 | 5.0 | 15625 | 0.0833 | 65.2015 | 13.056 |
| 0.08 | 6.0 | 18750 | 0.0806 | 65.6513 | 13.056 |
| 0.078 | 7.0 | 21875 | 0.0793 | 66.3861 | 13.051 |
| 0.0704 | 8.0 | 25000 | 0.0779 | 66.6447 | 13.051 |
| 0.0724 | 9.0 | 28125 | 0.0759 | 67.2105 | 13.051 |
| 0.0707 | 10.0 | 31250 | 0.0765 | 67.3232 | 13.051 |
| 0.0682 | 11.0 | 34375 | 0.0761 | 67.3443 | 13.051 |
| 0.07 | 12.0 | 37500 | 0.0758 | 67.2605 | 13.051 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
