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---
tags:
- generated_from_keras_callback
model-index:
- name: beto_amazon_final_posneg
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_final_posneg
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: 0.1429
- Train Accuracy: 0.9510
- Validation Loss: 0.2942
- Validation Accuracy: 0.8913
- Epoch: 9
## 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-07, '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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.6474 | 0.6545 | 0.5618 | 0.7893 | 0 |
| 0.4576 | 0.8360 | 0.3672 | 0.8560 | 1 |
| 0.3088 | 0.8925 | 0.3096 | 0.8752 | 2 |
| 0.2529 | 0.9028 | 0.2888 | 0.8855 | 3 |
| 0.2177 | 0.9168 | 0.2876 | 0.8865 | 4 |
| 0.1973 | 0.9280 | 0.2921 | 0.8865 | 5 |
| 0.1792 | 0.9373 | 0.2844 | 0.8903 | 6 |
| 0.1686 | 0.9423 | 0.2859 | 0.8898 | 7 |
| 0.1525 | 0.9480 | 0.2884 | 0.8917 | 8 |
| 0.1429 | 0.9510 | 0.2942 | 0.8913 | 9 |
### Framework versions
- Transformers 4.17.0
- TensorFlow 2.8.0
- Datasets 1.18.3
- Tokenizers 0.11.6
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