| license: apache-2.0 | |
| base_model: t5-small | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - wikisql | |
| model-index: | |
| - name: ofir | |
| 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. --> | |
| # ofir | |
| 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: 0.2732 | |
| ## 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 | | |
| |:-------------:|:-----:|:-----:|:---------------:| | |
| | 0.4116 | 1.0 | 4049 | 0.3393 | | |
| | 0.353 | 2.0 | 8098 | 0.3000 | | |
| | 0.3333 | 3.0 | 12147 | 0.2846 | | |
| | 0.3113 | 4.0 | 16196 | 0.2758 | | |
| | 0.302 | 5.0 | 20245 | 0.2732 | | |
| ### Framework versions | |
| - Transformers 4.31.0 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.14.3 | |
| - Tokenizers 0.13.3 | |