Model save
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README.md
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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.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 |
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| No log | 2.0 |
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### Framework versions
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- Transformers 4.35.
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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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: 0.0290
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- Precision: 0.6824
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- Recall: 0.6809
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- F1: 0.6817
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- Accuracy: 0.9932
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 222 | 0.0528 | 0.3333 | 0.2591 | 0.2916 | 0.9860 |
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| No log | 2.0 | 444 | 0.0342 | 0.5688 | 0.6017 | 0.5848 | 0.9922 |
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| 0.0837 | 3.0 | 666 | 0.0290 | 0.6824 | 0.6809 | 0.6817 | 0.9932 |
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### Framework versions
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- Transformers 4.35.1
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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