readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: camembert-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. -->
  
  # camembert-ner
  
  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:
  - Loss: 0.1179
  - Overall Precision: 0.7367
  - Overall Recall: 0.7522
  - Overall F1: 0.7444
  - Overall Accuracy: 0.9728
  - Humanprod F1: 0.1639
  - Loc F1: 0.7657
  - Org F1: 0.5352
  - Per F1: 0.7961
  
  ## 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: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | Humanprod F1 | Loc F1 | Org F1 | Per F1 |
  |:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|:------------:|:------:|:------:|:------:|
  | No log        | 1.0   | 307  | 0.1254          | 0.7185            | 0.7420         | 0.7300     | 0.9715           | 0.0357       | 0.7579 | 0.5052 | 0.7778 |
  | 0.1195        | 2.0   | 614  | 0.1179          | 0.7367            | 0.7522         | 0.7444     | 0.9728           | 0.1639       | 0.7657 | 0.5352 | 0.7961 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.7.1+cpu
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  