--- license: apache-2.0 base_model: google/mt5-small tags: - generated_from_trainer metrics: - accuracy model-index: - name: mt5-small-task2-dataset2 results: [] --- # mt5-small-task2-dataset2 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: 0.4228 - Accuracy: 0.32 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 6.2681 | 1.0 | 250 | 1.1622 | 0.018 | | 1.7716 | 2.0 | 500 | 0.8039 | 0.066 | | 1.1424 | 3.0 | 750 | 0.6418 | 0.14 | | 0.8879 | 4.0 | 1000 | 0.5569 | 0.204 | | 0.7728 | 5.0 | 1250 | 0.5065 | 0.256 | | 0.6886 | 6.0 | 1500 | 0.4821 | 0.268 | | 0.6422 | 7.0 | 1750 | 0.4619 | 0.282 | | 0.6137 | 8.0 | 2000 | 0.4500 | 0.298 | | 0.5837 | 9.0 | 2250 | 0.4314 | 0.3 | | 0.5711 | 10.0 | 2500 | 0.4256 | 0.316 | | 0.5596 | 11.0 | 2750 | 0.4228 | 0.316 | | 0.5458 | 12.0 | 3000 | 0.4228 | 0.32 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.0+cu118 - Datasets 2.15.0 - Tokenizers 0.15.0