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bert-base-portuguese-cased-finetuned-ner

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  1. README.md +10 -10
  2. pytorch_model.bin +1 -1
  3. tokenizer.json +6 -1
  4. training_args.bin +1 -1
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: 0.0947
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- - Precision: 0.0
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- - Recall: 0.0
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- - F1: 0.0
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- - Accuracy: 0.9821
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  ## Model description
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@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
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  ### Training results
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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 | 35 | 0.1217 | 0.0 | 0.0 | 0.0 | 0.9817 |
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- | No log | 2.0 | 70 | 0.0992 | 0.0 | 0.0 | 0.0 | 0.9817 |
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- | No log | 3.0 | 105 | 0.0947 | 0.0 | 0.0 | 0.0 | 0.9821 |
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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: 0.0156
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+ - Precision: 0.6569
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+ - Recall: 0.4290
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+ - F1: 0.5190
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+ - Accuracy: 0.9959
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  ## Model description
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  ### Training results
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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 | 137 | 0.0394 | 0.0419 | 0.0191 | 0.0263 | 0.9893 |
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+ | No log | 2.0 | 274 | 0.0195 | 0.5622 | 0.3825 | 0.4553 | 0.9956 |
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+ | No log | 3.0 | 411 | 0.0156 | 0.6569 | 0.4290 | 0.5190 | 0.9959 |
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  ### Framework versions
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