--- license: apache-2.0 base_model: t5-small tags: - generated_from_trainer datasets: - wikisql model-index: - name: ofir results: [] --- # 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