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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_stars |
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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_stars |
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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: 0.8954 |
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- Train Accuracy: 0.6248 |
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- Validation Loss: 1.1278 |
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- Validation Accuracy: 0.5148 |
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- Epoch: 14 |
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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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| 1.5935 | 0.2626 | 1.5553 | 0.3482 | 0 | |
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| 1.5072 | 0.3782 | 1.4289 | 0.4188 | 1 | |
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| 1.3590 | 0.4312 | 1.2929 | 0.4406 | 2 | |
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| 1.2463 | 0.4628 | 1.2197 | 0.4682 | 3 | |
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| 1.1754 | 0.4970 | 1.1785 | 0.4830 | 4 | |
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| 1.1299 | 0.5114 | 1.1533 | 0.4908 | 5 | |
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| 1.0847 | 0.5362 | 1.1398 | 0.5006 | 6 | |
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| 1.0492 | 0.5440 | 1.1273 | 0.5046 | 7 | |
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| 1.0278 | 0.5592 | 1.1237 | 0.5034 | 8 | |
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| 1.0031 | 0.5690 | 1.1171 | 0.5118 | 9 | |
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| 0.9798 | 0.5712 | 1.1163 | 0.5120 | 10 | |
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| 0.9598 | 0.5894 | 1.1180 | 0.5114 | 11 | |
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| 0.9406 | 0.5964 | 1.1219 | 0.5122 | 12 | |
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| 0.9178 | 0.6104 | 1.1269 | 0.5150 | 13 | |
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| 0.8954 | 0.6248 | 1.1278 | 0.5148 | 14 | |
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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 1.18.4 |
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- Tokenizers 0.11.6 |
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