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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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- accuracy |
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model-index: |
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- name: bert_ENEM |
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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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# bert_ENEM |
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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: 3.0267 |
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- Accuracy: 0.3611 |
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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: 3 |
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- eval_batch_size: 2 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 107 | 1.6131 | 0.25 | |
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| No log | 2.0 | 214 | 1.5635 | 0.3333 | |
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| No log | 3.0 | 321 | 1.4007 | 0.4444 | |
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| No log | 4.0 | 428 | 1.9448 | 0.4167 | |
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| 1.137 | 5.0 | 535 | 2.1251 | 0.4167 | |
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| 1.137 | 6.0 | 642 | 2.4106 | 0.3889 | |
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| 1.137 | 7.0 | 749 | 2.5102 | 0.3333 | |
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| 1.137 | 8.0 | 856 | 2.6479 | 0.4167 | |
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| 1.137 | 9.0 | 963 | 2.9045 | 0.3889 | |
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| 0.0629 | 10.0 | 1070 | 3.0267 | 0.3611 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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