| tags: | |
| - generated_from_keras_callback | |
| base_model: dccuchile/bert-base-spanish-wwm-uncased | |
| model-index: | |
| - name: beto_amazon_posneu | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information Keras had access to. You should | |
| probably proofread and complete it, then remove this comment. --> | |
| # beto_amazon_posneu | |
| 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: | |
| - Train Loss: 0.1277 | |
| - Train Accuracy: 0.9550 | |
| - Validation Loss: 0.3439 | |
| - Validation Accuracy: 0.8905 | |
| - Epoch: 2 | |
| ## 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: | |
| - optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} | |
| - training_precision: float32 | |
| ### Training results | |
| | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | | |
| |:----------:|:--------------:|:---------------:|:-------------------:|:-----:| | |
| | 0.3195 | 0.8712 | 0.3454 | 0.8580 | 0 | | |
| | 0.1774 | 0.9358 | 0.3258 | 0.8802 | 1 | | |
| | 0.1277 | 0.9550 | 0.3439 | 0.8905 | 2 | | |
| ### Framework versions | |
| - Transformers 4.16.2 | |
| - TensorFlow 2.7.0 | |
| - Datasets 1.18.3 | |
| - Tokenizers 0.11.0 | |