readme: ---
  license: mit
  widget:
  - text: "François Dupont prends la direction générale du groupe IPD"
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: camembert-base-articles-ner-backup
    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-base-articles-ner-backup
  
  This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6701
  - F1: 0.8723
  
  ## Model description
  
  This model identifies Name Entities : PERSON, ORGANISATION, JOB TITLE
  Another Model is being developped to predict relationships between these entities (nomination, départure)
  ## 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: 5e-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: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 1.9205        | 1.0   | 6    | 1.7426          | 0.0    |
  | 1.6476        | 2.0   | 12   | 1.5415          | 0.0    |
  | 1.4607        | 3.0   | 18   | 1.3944          | 0.0635 |
  | 1.3299        | 4.0   | 24   | 1.2587          | 0.4848 |
  | 1.1973        | 5.0   | 30   | 1.1287          | 0.6207 |
  | 1.0707        | 6.0   | 36   | 1.0110          | 0.8043 |
  | 0.972         | 7.0   | 42   | 0.9266          | 0.8696 |
  | 0.8877        | 8.0   | 48   | 0.8632          | 0.8602 |
  | 0.8231        | 9.0   | 54   | 0.8279          | 0.8511 |
  | 0.7723        | 10.0  | 60   | 0.8001          | 0.8511 |
  | 0.7309        | 11.0  | 66   | 0.7617          | 0.8602 |
  | 0.6902        | 12.0  | 72   | 0.7364          | 0.8602 |
  | 0.6601        | 13.0  | 78   | 0.7104          | 0.8723 |
  | 0.6306        | 14.0  | 84   | 0.7062          | 0.8723 |
  | 0.6127        | 15.0  | 90   | 0.6896          | 0.8602 |
  | 0.605         | 16.0  | 96   | 0.6743          | 0.8723 |
  | 0.5892        | 17.0  | 102  | 0.6801          | 0.8723 |
  | 0.5843        | 18.0  | 108  | 0.6797          | 0.8723 |
  | 0.5731        | 19.0  | 114  | 0.6731          | 0.8723 |
  | 0.5707        | 20.0  | 120  | 0.6701          | 0.8723 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  