readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  - precision
  - recall
  model-index:
  - name: xlm-roberta-base-misogyny-sexism-fr-indomain-bal
    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. -->
  
  # xlm-roberta-base-misogyny-sexism-fr-indomain-bal
  
  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9526
  - Accuracy: 0.8690
  - F1: 0.0079
  - Precision: 0.1053
  - Recall: 0.0041
  - Mae: 0.1310
  
  ## 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: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Mae    |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
  | 0.3961        | 1.0   | 1613 | 0.7069          | 0.8648   | 0.0171 | 0.1125    | 0.0093 | 0.1352 |
  | 0.338         | 2.0   | 3226 | 0.7963          | 0.8659   | 0.0172 | 0.125     | 0.0093 | 0.1341 |
  | 0.2794        | 3.0   | 4839 | 0.8851          | 0.8656   | 0.0134 | 0.1       | 0.0072 | 0.1344 |
  | 0.2345        | 4.0   | 6452 | 0.9526          | 0.8690   | 0.0079 | 0.1053    | 0.0041 | 0.1310 |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  