begnini/diarios_uniao_finetuned_classification
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- model.safetensors +1 -1
- runs/Jan14_12-43-40_50d79c4fb1c8/events.out.tfevents.1705236231.50d79c4fb1c8.202.0 +3 -0
- runs/Jan14_12-44-07_50d79c4fb1c8/events.out.tfevents.1705236254.50d79c4fb1c8.202.1 +3 -0
- runs/Jan14_12-44-07_50d79c4fb1c8/events.out.tfevents.1705236279.50d79c4fb1c8.202.2 +3 -0
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [pierreguillou/bert-base-cased-pt-lenerbr](https://huggingface.co/pierreguillou/bert-base-cased-pt-lenerbr) 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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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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This model is a fine-tuned version of [pierreguillou/bert-base-cased-pt-lenerbr](https://huggingface.co/pierreguillou/bert-base-cased-pt-lenerbr) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0396
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- Accuracy: 0.9960
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.1548 | 1.0 | 1563 | 0.0554 | 0.9936 |
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| 0.029 | 2.0 | 3126 | 0.0438 | 0.9952 |
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| 0.0084 | 3.0 | 4689 | 0.0396 | 0.9960 |
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### Framework versions
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