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belisards
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azmn-posicao-v2

Text Classification
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Safetensors
bert
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kairos-posicao-bert3

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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [belisards/congretimbau](https://huggingface.co/belisards/congretimbau) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1271
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- - Accuracy: 0.8367
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- - F1: 0.7603
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- - Recall: 0.7548
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- - Precision: 0.7665
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
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- | 0.1299 | 2.8333 | 51 | 0.1261 | 0.75 | 0.5739 | 0.5733 | 0.6589 |
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- | 0.1037 | 5.6667 | 102 | 0.1088 | 0.8214 | 0.7172 | 0.6888 | 0.8124 |
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- | 0.0511 | 8.5 | 153 | 0.1180 | 0.8304 | 0.7652 | 0.7509 | 0.7860 |
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- | 0.0138 | 11.3333 | 204 | 0.1670 | 0.8304 | 0.7711 | 0.7622 | 0.7822 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [belisards/congretimbau](https://huggingface.co/belisards/congretimbau) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1336
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+ - Accuracy: 0.8776
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+ - F1: 0.8115
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+ - Recall: 0.7919
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+ - Precision: 0.8389
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
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+ | 0.1343 | 2.8333 | 51 | 0.1396 | 0.7679 | 0.5492 | 0.5629 | 0.7832 |
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+ | 0.1057 | 5.6667 | 102 | 0.1280 | 0.8036 | 0.6777 | 0.6543 | 0.7887 |
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+ | 0.053 | 8.5 | 153 | 0.1457 | 0.8482 | 0.7899 | 0.7742 | 0.8125 |
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+ | 0.0159 | 11.3333 | 204 | 0.2345 | 0.8482 | 0.7952 | 0.7854 | 0.8072 |
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  ### Framework versions
model.safetensors CHANGED
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