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--- |
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license: mit |
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base_model: neuralmind/bert-base-portuguese-cased |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: gustavokpc/bert-base-portuguese-cased_LRATE_5e-06_EPOCHS_6 |
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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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# gustavokpc/bert-base-portuguese-cased_LRATE_5e-06_EPOCHS_6 |
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This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0811 |
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- Train Accuracy: 0.9728 |
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- Train F1 M: 0.5572 |
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- Train Precision M: 0.4036 |
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- Train Recall M: 0.9646 |
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- Validation Loss: 0.1804 |
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- Validation Accuracy: 0.9387 |
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- Validation F1 M: 0.5549 |
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- Validation Precision M: 0.3999 |
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- Validation Recall M: 0.9504 |
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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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-06, 'decay_steps': 4548, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Accuracy | Train F1 M | Train Precision M | Train Recall M | Validation Loss | Validation Accuracy | Validation F1 M | Validation Precision M | Validation Recall M | Epoch | |
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|:----------:|:--------------:|:----------:|:-----------------:|:--------------:|:---------------:|:-------------------:|:---------------:|:----------------------:|:-------------------:|:-----:| |
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| 0.2887 | 0.8821 | 0.4544 | 0.3418 | 0.7393 | 0.1871 | 0.9321 | 0.5574 | 0.4039 | 0.9455 | 0 | |
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| 0.1571 | 0.9439 | 0.5463 | 0.3992 | 0.9299 | 0.1740 | 0.9321 | 0.5596 | 0.4040 | 0.9542 | 1 | |
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| 0.1185 | 0.9587 | 0.5529 | 0.4020 | 0.9480 | 0.1714 | 0.9367 | 0.5588 | 0.4030 | 0.9555 | 2 | |
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| 0.0950 | 0.9662 | 0.5572 | 0.4033 | 0.9621 | 0.1775 | 0.9373 | 0.5604 | 0.4033 | 0.9607 | 3 | |
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| 0.0811 | 0.9728 | 0.5572 | 0.4036 | 0.9646 | 0.1804 | 0.9387 | 0.5549 | 0.3999 | 0.9504 | 4 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- TensorFlow 2.10.0 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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