readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  - precision
  - recall
  model-index:
  - name: xlm-roberta-base-misogyny-sexism-fr-indomain-trans
    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-trans
  
  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: 0.9813
  - Accuracy: 0.8708
  - F1: 0.0
  - Precision: 0.0
  - Recall: 0.0
  - Mae: 0.1292
  
  ## 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    |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|:---------:|:------:|:------:|
  | 0.3606        | 1.0   | 2297 | 0.8082          | 0.8710   | 0.0 | 0.0       | 0.0    | 0.1290 |
  | 0.3169        | 2.0   | 4594 | 0.8868          | 0.8702   | 0.0 | 0.0       | 0.0    | 0.1298 |
  | 0.2708        | 3.0   | 6891 | 0.9082          | 0.8710   | 0.0 | 0.0       | 0.0    | 0.1290 |
  | 0.2337        | 4.0   | 9188 | 0.9813          | 0.8708   | 0.0 | 0.0       | 0.0    | 0.1292 |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  