| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - wikisql |
| model-index: |
| - name: EN_mt5-small_5_wikiSQL |
| 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. --> |
|
|
| # EN_mt5-small_5_wikiSQL |
| |
| This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the wikisql dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1353 |
| - Rouge2 Precision: 0.8272 |
| - Rouge2 Recall: 0.7504 |
| - Rouge2 Fmeasure: 0.7811 |
| |
| ## 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: 5e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure | |
| |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:| |
| | 0.286 | 1.0 | 4049 | 0.1954 | 0.7917 | 0.7111 | 0.7421 | |
| | 0.2149 | 2.0 | 8098 | 0.1560 | 0.815 | 0.7378 | 0.768 | |
| | 0.1892 | 3.0 | 12147 | 0.1436 | 0.8229 | 0.7452 | 0.7762 | |
| | 0.1792 | 4.0 | 16196 | 0.1383 | 0.826 | 0.7494 | 0.7799 | |
| | 0.1744 | 5.0 | 20245 | 0.1353 | 0.8272 | 0.7504 | 0.7811 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.26.1 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.14.7.dev0 |
| - Tokenizers 0.13.3 |
| |
