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README.md
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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
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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
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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: 0.5124
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- Train Accuracy: 0.7940
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- Validation Loss: 0.6627
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- Validation Accuracy: 0.7270
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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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| 1.0378 | 0.5016 | 0.9487 | 0.6354 | 0 |
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| 0.8548 | 0.6794 | 0.7746 | 0.6902 | 1 |
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| 0.7184 | 0.7120 | 0.7132 | 0.7042 | 2 |
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| 0.6564 | 0.7320 | 0.6845 | 0.7160 | 3 |
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| 0.6192 | 0.7466 | 0.6701 | 0.7206 | 4 |
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| 0.5917 | 0.7580 | 0.6712 | 0.7224 | 5 |
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| 0.5730 | 0.7662 | 0.6569 | 0.7266 | 6 |
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| 0.5502 | 0.7756 | 0.6575 | 0.7258 | 7 |
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| 0.5288 | 0.7868 | 0.6593 | 0.7268 | 8 |
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| 0.5124 | 0.7940 | 0.6627 | 0.7270 | 9 |
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### Framework versions
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- Transformers 4.16.2
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- TensorFlow 2.8.0
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- Datasets 1.18.3
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- Tokenizers 0.11.0
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