--- base_model: t5-small library_name: transformers license: apache-2.0 tags: - generated_from_trainer model-index: - name: en-af-sql-training-1727527893 results: [] --- # en-af-sql-training-1727527893 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0210 ## 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: 0.005 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 0.0573 | 0.1348 | 500 | 0.0452 | | 0.0424 | 0.2695 | 1000 | 0.0364 | | 0.037 | 0.4043 | 1500 | 0.0323 | | 0.0356 | 0.5391 | 2000 | 0.0287 | | 0.0328 | 0.6739 | 2500 | 0.0269 | | 0.0281 | 0.8086 | 3000 | 0.0255 | | 0.0286 | 0.9434 | 3500 | 0.0238 | | 0.0269 | 1.0782 | 4000 | 0.0233 | | 0.0247 | 1.2129 | 4500 | 0.0225 | | 0.0245 | 1.3477 | 5000 | 0.0217 | | 0.0226 | 1.4825 | 5500 | 0.0214 | | 0.0245 | 1.6173 | 6000 | 0.0211 | | 0.024 | 1.7520 | 6500 | 0.0210 | | 0.0249 | 1.8868 | 7000 | 0.0210 | ### Framework versions - Transformers 4.44.2 - Pytorch 2.4.0 - Datasets 3.0.0 - Tokenizers 0.19.1