--- 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: 1.9437 ## 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: 32 - eval_batch_size: 32 - 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 | |:-------------:|:-----:|:----:|:---------------:| | 3.758 | 1.0 | 70 | 3.1082 | | 2.763 | 2.0 | 140 | 2.5174 | | 2.3389 | 3.0 | 210 | 2.3997 | | 2.1706 | 4.0 | 280 | 2.1940 | | 2.0781 | 5.0 | 350 | 2.4517 | | 2.0058 | 6.0 | 420 | 2.1393 | | 1.8748 | 7.0 | 490 | 2.2303 | | 1.8267 | 8.0 | 560 | 2.2157 | | 1.7874 | 9.0 | 630 | 2.0251 | | 1.7614 | 10.0 | 700 | 2.1635 | | 1.7023 | 11.0 | 770 | 1.9857 | ### Framework versions - Transformers 4.33.1 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.13.3