--- license: mit base_model: PORTULAN/albertina-100m-portuguese-ptpt-encoder tags: - generated_from_trainer metrics: - accuracy - f1 - precision - recall model-index: - name: LVI_albertina-100m-portuguese-ptpt-encoder results: [] --- # LVI_albertina-100m-portuguese-ptpt-encoder This model is a fine-tuned version of [PORTULAN/albertina-100m-portuguese-ptpt-encoder](https://huggingface.co/PORTULAN/albertina-100m-portuguese-ptpt-encoder) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.6932 - Accuracy: 0.5 - F1: 0.0 - Precision: 0.0 - Recall: 0.0 ## 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: 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: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:| | 0.5678 | 1.0 | 3217 | 0.6316 | 0.6653 | 0.5619 | 0.8128 | 0.4294 | | 0.6042 | 2.0 | 6434 | 0.6911 | 0.5 | 0.0 | 0.0 | 0.0 | | 0.6946 | 3.0 | 9651 | 0.6932 | 0.5 | 0.0 | 0.0 | 0.0 | | 0.694 | 4.0 | 12868 | 0.6932 | 0.5 | 0.6667 | 0.5 | 1.0 | | 0.6942 | 5.0 | 16085 | 0.6933 | 0.5 | 0.6667 | 0.5 | 1.0 | | 0.6936 | 6.0 | 19302 | 0.6937 | 0.5 | 0.6667 | 0.5 | 1.0 | | 0.6937 | 7.0 | 22519 | 0.6932 | 0.5 | 0.0 | 0.0 | 0.0 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2