--- license: apache-2.0 base_model: google/mt5-small tags: - generated_from_trainer metrics: - accuracy model-index: - name: mt5-small-task1-dataset3 results: [] --- # mt5-small-task1-dataset3 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.9695 - Accuracy: 0.448 ## 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: 5.6e-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: 12 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 9.5046 | 1.0 | 250 | 2.3331 | 0.114 | | 2.4331 | 2.0 | 500 | 1.7122 | 0.12 | | 1.8836 | 3.0 | 750 | 1.5107 | 0.21 | | 1.6365 | 4.0 | 1000 | 1.4237 | 0.208 | | 1.4737 | 5.0 | 1250 | 1.2627 | 0.316 | | 1.3361 | 6.0 | 1500 | 1.1837 | 0.37 | | 1.1998 | 7.0 | 1750 | 1.1045 | 0.408 | | 1.1317 | 8.0 | 2000 | 1.0488 | 0.404 | | 1.0612 | 9.0 | 2250 | 1.0142 | 0.42 | | 1.0265 | 10.0 | 2500 | 0.9925 | 0.422 | | 1.009 | 11.0 | 2750 | 0.9708 | 0.446 | | 0.9898 | 12.0 | 3000 | 0.9695 | 0.448 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.0+cu121 - Datasets 2.15.0 - Tokenizers 0.15.0