readme: ---
  license: mit
  tags:
  - generated_from_trainer
  datasets:
  - harem
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: bert-base-portuguese-cased_harem-selective-CRF-first-ner
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # bert-base-portuguese-cased_harem-selective-CRF-first-ner
  
  This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the harem dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2045
  - Precision: 0.5352
  - Recall: 0.4351
  - F1: 0.48
  - Accuracy: 0.9484
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 2e-05
  - train_batch_size: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | 0.102         | 1.0   | 2517 | 0.2498          | 0.4367    | 0.3817 | 0.4073 | 0.9332   |
  | 0.0614        | 2.0   | 5034 | 0.1842          | 0.4756    | 0.4084 | 0.4394 | 0.9408   |
  | 0.0455        | 3.0   | 7551 | 0.2045          | 0.5352    | 0.4351 | 0.48   | 0.9484   |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.2+cu102
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  