readme: ---
  language:
  - fr
  datasets:
  - wikiann
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: jplu-wikiann
    results:
    - task:
        name: Token Classification
        type: token-classification
      dataset:
        name: wikiann
        type: wikiann
        args: default
      metrics:
      - name: precision
        type: precision
        value: 0.897994120055078
      - name: recall
        type: recall
        value: 0.9097421203438395
      - name: f1
        type: f1
        value: 0.9038299466242158
      - name: accuracy
        type: accuracy
        value: 0.9464171271196716
  ---
  
  <!-- 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. -->
  
  # jplu-wikiann
  
  This model is a fine-tuned version of [jplu/tf-camembert-base](https://huggingface.co/jplu/tf-camembert-base) on the wikiann dataset.
  It achieves the following results on the evaluation set:
  - precision: 0.8980
  - recall: 0.9097
  - f1: 0.9038
  - accuracy: 0.9464
  
  ## 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:
  - num_train_epochs: 5
  - train_batch_size: 16
  - eval_batch_size: 32
  - learning_rate: 2e-05
  - weight_decay_rate: 0.01
  - num_warmup_steps: 0
  - fp16: True
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.0
  - Tokenizers 0.10.3
  