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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/Nov14_17-15-31_ca8741d66a59/events.out.tfevents.1699982140.ca8741d66a59.1396.2 +2 -2
  4. runs/Nov14_17-15-31_ca8741d66a59/events.out.tfevents.1699983314.ca8741d66a59.1396.3 +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: 0.0290
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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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@@ -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 | 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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  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: 0.0102
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+ - Precision: 0.8045
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+ - Recall: 0.9065
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+ - F1: 0.8525
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+ - Accuracy: 0.9973
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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 | 333 | 0.0263 | 0.5974 | 0.6466 | 0.6210 | 0.9927 |
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+ | 0.0747 | 2.0 | 666 | 0.0126 | 0.7436 | 0.8780 | 0.8052 | 0.9967 |
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+ | 0.0747 | 3.0 | 999 | 0.0102 | 0.8045 | 0.9065 | 0.8525 | 0.9973 |
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  ### Framework versions
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