--- library_name: transformers license: apache-2.0 base_model: t5-base tags: - generated_from_trainer model-index: - name: t5-training results: [] --- # t5-training This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.7143 - Mse: 0.3397 ## 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | Mse | |:-------------:|:-----:|:----:|:---------------:|:------:| | 1.0303 | 1.0 | 392 | 0.7538 | 0.3615 | | 0.7436 | 2.0 | 784 | 0.7168 | 0.3378 | | 0.7185 | 3.0 | 1176 | 0.7143 | 0.3397 | ### Framework versions - Transformers 4.44.2 - Pytorch 2.5.0+cu121 - Datasets 3.0.2 - Tokenizers 0.19.1