| | --- |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - bleu |
| | model-index: |
| | - name: mt5-small |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # 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 |
| |
|
