| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: Proyecto-Transformers |
| 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. --> |
|
|
| # Proyecto-Transformers |
|
|
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 1.3322 |
| - Train Accuracy: 0.5469 |
| - Validation Loss: 2.5269 |
| - Validation Accuracy: 0.2944 |
| - Epoch: 4 |
|
|
| ## 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 |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| 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 | |
| |:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
| | 1.5237 | 0.5237 | 2.2847 | 0.3024 | 0 | |
| | 1.4421 | 0.5378 | 2.3720 | 0.2823 | 1 | |
| | 1.3973 | 0.5439 | 2.4879 | 0.2742 | 2 | |
| | 1.3523 | 0.5610 | 2.4525 | 0.2944 | 3 | |
| | 1.3322 | 0.5469 | 2.5269 | 0.2944 | 4 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.27.4 |
| - TensorFlow 2.5.0 |
| - Tokenizers 0.13.2 |
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|
