| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: Salesforce/codet5-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - bleu |
| | - rouge |
| | - exact_match |
| | model-index: |
| | - name: codet5-base-sql-create-context |
| | results: [] |
| | datasets: |
| | - b-mc2/sql-create-context |
| | pipeline_tag: text2text-generation |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # codet5-base-sql-create-context |
| |
|
| | This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on [b-mc2/sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context) dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0036 |
| | - Exact Match: 0.2451 |
| | - Rouge2: 0.8839 |
| | - Bleu: 75.6780 |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Exact Match | Rouge2 | Bleu | |
| | |:-------------:|:-----:|:-----:|:---------------:|:-----------:|:------:|:-------:| |
| | | 0.0071 | 1.0 | 7858 | 0.0047 | 0.2360 | 0.8808 | 75.1891 | |
| | | 0.0041 | 2.0 | 15716 | 0.0039 | 0.2393 | 0.8820 | 75.4061 | |
| | | 0.0028 | 3.0 | 23574 | 0.0037 | 0.2447 | 0.8832 | 75.5863 | |
| | | 0.0019 | 4.0 | 31432 | 0.0035 | 0.2469 | 0.8837 | 75.7130 | |
| | | 0.0013 | 5.0 | 39290 | 0.0036 | 0.2451 | 0.8839 | 75.6780 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.50.3 |
| | - Pytorch 2.5.1+cu121 |
| | - Datasets 3.5.0 |
| | - Tokenizers 0.21.1 |
