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--- |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: beto_amazon_final_posneg |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# beto_amazon_final_posneg |
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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. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1429 |
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- Train Accuracy: 0.9510 |
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- Validation Loss: 0.2942 |
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- Validation Accuracy: 0.8913 |
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- Epoch: 9 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'Adam', 'learning_rate': 5e-07, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 0.6474 | 0.6545 | 0.5618 | 0.7893 | 0 | |
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| 0.4576 | 0.8360 | 0.3672 | 0.8560 | 1 | |
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| 0.3088 | 0.8925 | 0.3096 | 0.8752 | 2 | |
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| 0.2529 | 0.9028 | 0.2888 | 0.8855 | 3 | |
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| 0.2177 | 0.9168 | 0.2876 | 0.8865 | 4 | |
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| 0.1973 | 0.9280 | 0.2921 | 0.8865 | 5 | |
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| 0.1792 | 0.9373 | 0.2844 | 0.8903 | 6 | |
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| 0.1686 | 0.9423 | 0.2859 | 0.8898 | 7 | |
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| 0.1525 | 0.9480 | 0.2884 | 0.8917 | 8 | |
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| 0.1429 | 0.9510 | 0.2942 | 0.8913 | 9 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- TensorFlow 2.8.0 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.6 |
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