readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: camembert-ner-lr10e3
    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-lr10e3
  
  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: 0.5566
  - Overall Precision: 0.0
  - Overall Recall: 0.0
  - Overall F1: 0.0
  - Overall Accuracy: 0.8840
  - Humanprod F1: 0.0
  - Loc F1: 0.0
  - Org F1: 0.0
  - Per F1: 0.0
  
  ## 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: 0.002
  - 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
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | Humanprod F1 | Loc F1 | Org F1 | Per F1 |
  |:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|:------------:|:------:|:------:|:------:|
  | 0.5473        | 1.0   | 613  | 0.5626          | 0.0               | 0.0            | 0.0        | 0.8840           | 0.0          | 0.0    | 0.0    | 0.0    |
  | 0.5299        | 2.0   | 1226 | 0.5566          | 0.0               | 0.0            | 0.0        | 0.8840           | 0.0          | 0.0    | 0.0    | 0.0    |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.7.1+cpu
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  