readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  - precision
  - recall
  model-index:
  - name: distilbert-base-multilingual-cased-misogyny-sexism-decay0.01-fr-indomain
    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. -->
  
  # distilbert-base-multilingual-cased-misogyny-sexism-decay0.01-fr-indomain
  
  This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0161
  - Accuracy: 0.8716
  - F1: 0.0
  - Precision: 0.0
  - Recall: 0.0
  - Mae: 0.1284
  - Tn: 6671
  - Fp: 11
  - Fn: 972
  - Tp: 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: 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: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1  | Precision | Recall | Mae    | Tn   | Fp | Fn  | Tp |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|:---------:|:------:|:------:|:----:|:--:|:---:|:--:|
  | 0.2357        | 1.0   | 2302 | 0.9061          | 0.8696   | 0.0 | 0.0       | 0.0    | 0.1304 | 6656 | 26 | 972 | 0  |
  | 0.2412        | 2.0   | 4604 | 0.9032          | 0.8707   | 0.0 | 0.0       | 0.0    | 0.1293 | 6664 | 18 | 972 | 0  |
  | 0.1823        | 3.0   | 6906 | 1.0161          | 0.8716   | 0.0 | 0.0       | 0.0    | 0.1284 | 6671 | 11 | 972 | 0  |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  