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---
tags:
- generated_from_keras_callback
model-index:
- name: beto_stars
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_stars
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: 0.8954
- Train Accuracy: 0.6248
- Validation Loss: 1.1278
- Validation Accuracy: 0.5148
- Epoch: 14
## 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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 1.5935 | 0.2626 | 1.5553 | 0.3482 | 0 |
| 1.5072 | 0.3782 | 1.4289 | 0.4188 | 1 |
| 1.3590 | 0.4312 | 1.2929 | 0.4406 | 2 |
| 1.2463 | 0.4628 | 1.2197 | 0.4682 | 3 |
| 1.1754 | 0.4970 | 1.1785 | 0.4830 | 4 |
| 1.1299 | 0.5114 | 1.1533 | 0.4908 | 5 |
| 1.0847 | 0.5362 | 1.1398 | 0.5006 | 6 |
| 1.0492 | 0.5440 | 1.1273 | 0.5046 | 7 |
| 1.0278 | 0.5592 | 1.1237 | 0.5034 | 8 |
| 1.0031 | 0.5690 | 1.1171 | 0.5118 | 9 |
| 0.9798 | 0.5712 | 1.1163 | 0.5120 | 10 |
| 0.9598 | 0.5894 | 1.1180 | 0.5114 | 11 |
| 0.9406 | 0.5964 | 1.1219 | 0.5122 | 12 |
| 0.9178 | 0.6104 | 1.1269 | 0.5150 | 13 |
| 0.8954 | 0.6248 | 1.1278 | 0.5148 | 14 |
### Framework versions
- Transformers 4.17.0
- TensorFlow 2.8.0
- Datasets 1.18.4
- Tokenizers 0.11.6
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