--- library_name: transformers license: mit base_model: pierreguillou/bert-base-cased-squad-v1.1-portuguese tags: - generated_from_trainer model-index: - name: ibama_teste_20241210153245 results: [] --- # ibama_teste_20241210153245 This model is a fine-tuned version of [pierreguillou/bert-base-cased-squad-v1.1-portuguese](https://huggingface.co/pierreguillou/bert-base-cased-squad-v1.1-portuguese) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 4.1748 ## 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: 3e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 4 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 45 | 4.6203 | | No log | 2.0 | 90 | 4.2607 | | No log | 3.0 | 135 | 4.2147 | | No log | 4.0 | 180 | 4.1748 | ### Framework versions - Transformers 4.46.3 - Pytorch 2.5.1+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3