| | ---
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| | library_name: transformers
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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_trainer
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| | metrics:
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| | - accuracy
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| | model-index:
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| | - name: results
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| | results: []
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| | ---
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| |
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| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| | should probably proofread and complete it, then remove this comment. -->
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| |
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| | # results
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| |
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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 the None dataset.
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| | It achieves the following results on the evaluation set:
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| | - Loss: 0.9699
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| | - Accuracy: 0.8696
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| | - F1 Macro: 0.7453
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| |
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| | ## Model description
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| |
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| | More information needed
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| |
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| | ## Intended uses & limitations
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| |
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| | More information needed
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| |
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| | ## Training and evaluation data
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| |
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| | More information needed
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| |
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| | ## Training procedure
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| |
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| | ### Training hyperparameters
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| |
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| | The following hyperparameters were used during training:
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| | - learning_rate: 2e-05
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| | - train_batch_size: 8
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| | - eval_batch_size: 8
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| | - seed: 42
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| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| | - lr_scheduler_type: linear
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| | - num_epochs: 12
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| |
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| | ### Training results
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| |
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| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
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| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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| | | No log | 1.0 | 17 | 1.3024 | 0.6522 | 0.4824 |
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| | | No log | 2.0 | 34 | 1.1881 | 0.7826 | 0.6572 |
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| | | No log | 3.0 | 51 | 0.9699 | 0.8696 | 0.7453 |
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| | | No log | 4.0 | 68 | 0.8733 | 0.8261 | 0.7017 |
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| | | No log | 5.0 | 85 | 0.7908 | 0.8261 | 0.7017 |
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| | | No log | 6.0 | 102 | 0.8341 | 0.8261 | 0.7017 |
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| | | No log | 7.0 | 119 | 0.7325 | 0.8261 | 0.7017 |
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| | | No log | 8.0 | 136 | 0.7554 | 0.8261 | 0.7017 |
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| | | No log | 9.0 | 153 | 0.8333 | 0.8261 | 0.6918 |
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| | | No log | 10.0 | 170 | 0.8074 | 0.8261 | 0.6831 |
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| | | No log | 11.0 | 187 | 0.8021 | 0.8261 | 0.6732 |
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| | | No log | 12.0 | 204 | 0.8205 | 0.8261 | 0.6732 |
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| |
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| | ### Framework versions
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| |
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| | - Transformers 4.54.0
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| | - Pytorch 2.7.1+cpu
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| | - Datasets 4.0.0
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| | - Tokenizers 0.21.2
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| |
|
