--- license: apache-2.0 base_model: t5-small tags: - generated_from_trainer datasets: - universal_dependencies model-index: - name: alberta-te-pos results: [] --- # alberta-te-pos This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the universal_dependencies dataset. It achieves the following results on the evaluation set: - Loss: 0.7232 ## 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: 2e-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: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 252 | 1.1029 | | 2.4271 | 2.0 | 504 | 0.7232 | ### Framework versions - Transformers 4.36.0.dev0 - Pytorch 2.1.0+cu118 - Datasets 2.15.0 - Tokenizers 0.15.0