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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_1e-05_EPOCHS_7 |
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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_1e-05_EPOCHS_7 |
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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: 0.0650 |
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- Train Accuracy: 0.9758 |
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- Train F1 M: 0.5601 |
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- Train Precision M: 0.4039 |
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- Train Recall M: 0.9754 |
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- Validation Loss: 0.1751 |
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- Validation Accuracy: 0.9466 |
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- Validation F1 M: 0.5620 |
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- Validation Precision M: 0.4036 |
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- Validation Recall M: 0.9696 |
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- Epoch: 3 |
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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': 1e-05, 'decay_steps': 5306, '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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| 0.2473 | 0.9048 | 0.5004 | 0.3720 | 0.8254 | 0.1669 | 0.9340 | 0.5489 | 0.3976 | 0.9281 | 0 | |
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| 0.1350 | 0.9505 | 0.5530 | 0.4016 | 0.9485 | 0.1610 | 0.9420 | 0.5661 | 0.4073 | 0.9706 | 1 | |
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| 0.0890 | 0.9685 | 0.5595 | 0.4035 | 0.9677 | 0.1719 | 0.9446 | 0.5691 | 0.4082 | 0.9825 | 2 | |
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| 0.0650 | 0.9758 | 0.5601 | 0.4039 | 0.9754 | 0.1751 | 0.9466 | 0.5620 | 0.4036 | 0.9696 | 3 | |
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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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