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bert-base-portuguese-cased-finetuned-ner

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/Nov19_22-55-51_a00122011639/events.out.tfevents.1700434587.a00122011639.4023.0 +2 -2
  4. runs/Nov19_22-55-51_a00122011639/events.out.tfevents.1700436008.a00122011639.4023.1 +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: 0.0060
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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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@@ -43,7 +43,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
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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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  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: 0.0039
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+ - Precision: 0.9208
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+ - Recall: 0.9633
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+ - F1: 0.9416
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+ - Accuracy: 0.9990
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
 
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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 | 0.0173 | 0.5752 | 0.8261 | 0.6782 | 0.9950 |
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+ | 0.0623 | 2.0 | 888 | 0.0060 | 0.8691 | 0.9565 | 0.9107 | 0.9984 |
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+ | 0.0083 | 3.0 | 1332 | 0.0039 | 0.9208 | 0.9633 | 0.9416 | 0.9990 |
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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 2.15.0
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  - Tokenizers 0.15.0
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