--- base_model: dccuchile/bert-base-spanish-wwm-uncased tags: - generated_from_trainer model-index: - name: bert_adaptation_peppa_pig results: [] --- # bert_adaptation_peppa_pig This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.8623 ## 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: 64 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 11 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 3.9508 | 1.0 | 35 | 3.2785 | | 2.9376 | 2.0 | 70 | 2.6258 | | 2.4875 | 3.0 | 105 | 2.2809 | | 2.2083 | 4.0 | 140 | 2.1301 | | 2.1109 | 5.0 | 175 | 2.2711 | | 2.0382 | 6.0 | 210 | 2.2041 | | 1.9327 | 7.0 | 245 | 2.3881 | | 1.8549 | 8.0 | 280 | 2.2020 | | 1.8009 | 9.0 | 315 | 2.1904 | | 1.8468 | 10.0 | 350 | 2.2052 | | 1.9202 | 11.0 | 385 | 2.0516 | ### Framework versions - Transformers 4.33.1 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.13.3