--- license: apache-2.0 tags: - generated_from_trainer datasets: - wikisql model-index: - name: EN_mt5-base_10_wikiSQL results: [] --- # EN_mt5-base_10_wikiSQL This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the wikisql dataset. It achieves the following results on the evaluation set: - Loss: 0.0849 - Rouge2 Precision: 0.864 - Rouge2 Recall: 0.787 - Rouge2 Fmeasure: 0.8178 ## 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: 21 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure | |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:| | 0.1677 | 1.0 | 3085 | 0.1224 | 0.8269 | 0.7506 | 0.7803 | | 0.1287 | 2.0 | 6170 | 0.1028 | 0.8458 | 0.7673 | 0.7988 | | 0.1086 | 3.0 | 9255 | 0.0959 | 0.8511 | 0.7727 | 0.8042 | | 0.0965 | 4.0 | 12340 | 0.0900 | 0.8543 | 0.777 | 0.808 | | 0.089 | 5.0 | 15425 | 0.0883 | 0.8575 | 0.7802 | 0.8111 | | 0.0809 | 6.0 | 18510 | 0.0866 | 0.8606 | 0.7834 | 0.8143 | | 0.0771 | 7.0 | 21595 | 0.0860 | 0.8625 | 0.7851 | 0.8161 | | 0.0745 | 8.0 | 24680 | 0.0855 | 0.8633 | 0.7862 | 0.8171 | | 0.0715 | 9.0 | 27765 | 0.0848 | 0.8641 | 0.7869 | 0.8178 | | 0.0702 | 10.0 | 30850 | 0.0849 | 0.864 | 0.787 | 0.8178 | ### Framework versions - Transformers 4.26.1 - Pytorch 2.0.1+cu117 - Datasets 2.14.7.dev0 - Tokenizers 0.13.3