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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: newsdata-bertimbal |
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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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# newsdata-bertimbal |
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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: 0.7455 |
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- Accuracy: 0.8743 |
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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: 2e-05 |
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- train_batch_size: 2 |
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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: 1 |
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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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| 0.8448 | 0.0859 | 5000 | 1.1296 | 0.8044 | |
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| 0.7301 | 0.1718 | 10000 | 1.0056 | 0.8258 | |
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| 0.6827 | 0.2577 | 15000 | 0.9388 | 0.8464 | |
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| 0.6221 | 0.3436 | 20000 | 0.9358 | 0.8502 | |
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| 0.5611 | 0.4295 | 25000 | 0.8983 | 0.8567 | |
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| 0.5291 | 0.5155 | 30000 | 0.8503 | 0.8575 | |
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| 0.4202 | 0.6014 | 35000 | 0.8353 | 0.8656 | |
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| 0.5436 | 0.6873 | 40000 | 0.7476 | 0.8706 | |
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| 0.4814 | 0.7732 | 45000 | 0.7863 | 0.8669 | |
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| 0.4853 | 0.8591 | 50000 | 0.7284 | 0.8720 | |
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| 0.39 | 0.9450 | 55000 | 0.7455 | 0.8743 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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