| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - wikisql |
| | model-index: |
| | - name: EN_t5-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_t5-small_5_wikiSQL |
| | |
| | This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wikisql dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1248 |
| | - Rouge2 Precision: 0.8184 |
| | - Rouge2 Recall: 0.7263 |
| | - Rouge2 Fmeasure: 0.7626 |
| | |
| | ## 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 | |
| | |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:| |
| | | 0.1953 | 1.0 | 4049 | 0.1567 | 0.7952 | 0.7063 | 0.7411 | |
| | | 0.1647 | 2.0 | 8098 | 0.1377 | 0.8094 | 0.7182 | 0.754 | |
| | | 0.1519 | 3.0 | 12147 | 0.1300 | 0.8145 | 0.7232 | 0.7591 | |
| | | 0.1458 | 4.0 | 16196 | 0.1259 | 0.8176 | 0.7261 | 0.7621 | |
| | | 0.142 | 5.0 | 20245 | 0.1248 | 0.8184 | 0.7263 | 0.7626 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.26.1 |
| | - Pytorch 2.0.1+cu117 |
| | - Datasets 2.14.7.dev0 |
| | - Tokenizers 0.13.3 |
| | |
