readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: 6_epochs_camembert
    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. -->
  
  # 6_epochs_camembert
  
  This model is a fine-tuned version of [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner) on the None dataset.
  It achieves the following results on the evaluation set:
  - eval_loss: 0.0932
  - eval_overall_precision: 0.8072
  - eval_overall_recall: 0.8431
  - eval_overall_f1: 0.8248
  - eval_overall_accuracy: 0.9778
  - eval_ER_f1: 0.8520
  - eval_OC_f1: 0.8029
  - eval_umanProd_f1: 0.6333
  - eval_runtime: 120.9649
  - eval_samples_per_second: 20.246
  - eval_steps_per_second: 1.273
  - epoch: 6.0
  - step: 3678
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 6
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cpu
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  