--- base_model: pysentimiento/robertuito-base-uncased tags: - generated_from_trainer model-index: - name: nlp_robertuito_uncased results: [] --- # nlp_robertuito_uncased This model is a fine-tuned version of [pysentimiento/robertuito-base-uncased](https://huggingface.co./pysentimiento/robertuito-base-uncased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.8125 ## 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: 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 | |:-------------:|:-----:|:-----:|:---------------:| | 1.01 | 1.0 | 6727 | 0.9409 | | 0.9003 | 2.0 | 13454 | 0.8442 | | 0.8679 | 3.0 | 20181 | 0.8115 | ### Framework versions - Transformers 4.34.0 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.14.1