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bert-base-portuguese-cased-finetuned-ner

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Nov06_15-24-14_21739723958a/events.out.tfevents.1699284269.21739723958a.21786.0 +2 -2
  4. runs/Nov06_15-24-14_21739723958a/events.out.tfevents.1699285269.21739723958a.21786.1 +3 -0
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.0597
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- - Precision: 0.0484
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- - Recall: 0.0156
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- - F1: 0.0236
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- - Accuracy: 0.9851
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  ## Model description
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@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
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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 | 77 | 0.1020 | 0.0 | 0.0 | 0.0 | 0.9817 |
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- | No log | 2.0 | 154 | 0.0695 | 0.0 | 0.0 | 0.0 | 0.9842 |
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- | No log | 3.0 | 231 | 0.0597 | 0.0484 | 0.0156 | 0.0236 | 0.9851 |
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  ### Framework versions
 
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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: 0.0066
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+ - Precision: 0.8985
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+ - Recall: 0.8716
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+ - F1: 0.8848
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+ - Accuracy: 0.9987
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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 | 306 | 0.0206 | 0.5889 | 0.3164 | 0.4117 | 0.9955 |
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+ | 0.0699 | 2.0 | 612 | 0.0091 | 0.8193 | 0.7851 | 0.8018 | 0.9980 |
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+ | 0.0699 | 3.0 | 918 | 0.0066 | 0.8985 | 0.8716 | 0.8848 | 0.9987 |
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  ### Framework versions
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