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bert-base-portuguese-cased-finetuned-ner

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/Nov15_23-30-30_a7380c9bb054/events.out.tfevents.1700091494.a7380c9bb054.2089.0 +2 -2
  4. runs/Nov15_23-30-30_a7380c9bb054/events.out.tfevents.1700093027.a7380c9bb054.2089.1 +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: 0.0102
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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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@@ -55,14 +55,14 @@ 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 | 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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- - Transformers 4.35.1
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  - Pytorch 2.1.0+cu118
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- - Datasets 2.14.6
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- - Tokenizers 0.14.1
 
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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: 0.0060
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+ - Precision: 0.8894
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+ - Recall: 0.9253
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+ - F1: 0.9070
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+ - Accuracy: 0.9985
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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 | 444 | 0.0190 | 0.6522 | 0.8078 | 0.7217 | 0.9950 |
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+ | 0.0813 | 2.0 | 888 | 0.0088 | 0.856 | 0.9168 | 0.8853 | 0.9981 |
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+ | 0.0111 | 3.0 | 1332 | 0.0060 | 0.8894 | 0.9253 | 0.9070 | 0.9985 |
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  ### Framework versions
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+ - Transformers 4.35.2
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  - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.7
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+ - Tokenizers 0.15.0
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