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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: Proyecto-Transformers |
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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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# Proyecto-Transformers |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 1.3322 |
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- Train Accuracy: 0.5469 |
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- Validation Loss: 2.5269 |
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- Validation Accuracy: 0.2944 |
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- Epoch: 4 |
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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-05, '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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| 1.5237 | 0.5237 | 2.2847 | 0.3024 | 0 | |
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| 1.4421 | 0.5378 | 2.3720 | 0.2823 | 1 | |
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| 1.3973 | 0.5439 | 2.4879 | 0.2742 | 2 | |
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| 1.3523 | 0.5610 | 2.4525 | 0.2944 | 3 | |
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| 1.3322 | 0.5469 | 2.5269 | 0.2944 | 4 | |
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### Framework versions |
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- Transformers 4.27.4 |
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- TensorFlow 2.5.0 |
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- Tokenizers 0.13.2 |
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