readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  - recall
  model-index:
  - name: camembert-base-finetuned-RankLineCause
    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-finetuned-RankLineCause
  
  This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3138
  - Accuracy: 0.8152
  - F1: 0.8297
  - Recall: 0.8152
  
  ## 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: 50
  - eval_batch_size: 50
  - 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 | Accuracy | F1     | Recall |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|
  | 0.3471        | 1.0   | 10019 | 0.3191          | 0.8156   | 0.8137 | 0.8156 |
  | 0.317         | 2.0   | 20038 | 0.3138          | 0.8152   | 0.8297 | 0.8152 |
  
  
  ### Framework versions
  
  - Transformers 4.19.4
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  