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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_trainer |
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metrics: |
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- precision |
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- recall |
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- accuracy |
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- f1 |
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model-index: |
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- name: oracle_class_bin |
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results: [] |
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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 |
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should probably proofread and complete it, then remove this comment. --> |
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# oracle_class_bin |
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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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- Loss: 0.1746 |
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- Precision: 0.8254 |
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- Recall: 0.7923 |
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- Accuracy: 0.9615 |
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- F1: 0.8085 |
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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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- learning_rate: 5e-05 |
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- train_batch_size: 24 |
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- eval_batch_size: 24 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1 | |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:--------:|:------:| |
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| 0.1271 | 0.8407 | 1800 | 0.1045 | 0.7513 | 0.8544 | 0.9560 | 0.7996 | |
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| 0.0913 | 1.6815 | 3600 | 0.1075 | 0.8110 | 0.7968 | 0.9601 | 0.8038 | |
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| 0.0791 | 2.5222 | 5400 | 0.1283 | 0.8287 | 0.7885 | 0.9615 | 0.8081 | |
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| 0.0553 | 3.3629 | 7200 | 0.1272 | 0.8160 | 0.8067 | 0.9615 | 0.8113 | |
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| 0.0384 | 4.2036 | 9000 | 0.1746 | 0.8254 | 0.7923 | 0.9615 | 0.8085 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.0 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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