readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: camember_jb
    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. -->
  
  # camember_jb
  
  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: 0.1450
  - eval_overall_precision: 0.7188
  - eval_overall_recall: 0.7287
  - eval_overall_f1: 0.7238
  - eval_overall_accuracy: 0.9703
  - eval_HumanProd_f1: 0.1961
  - eval_LOC_f1: 0.7492
  - eval_ORG_f1: 0.4609
  - eval_PER_f1: 0.7763
  - eval_runtime: 124.2883
  - eval_samples_per_second: 19.704
  - eval_steps_per_second: 1.239
  - epoch: 2.0
  - step: 1226
  
  ## 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: 2
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cpu
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  