readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  - precision
  - recall
  model-index:
  - name: distilbert-base-multilingual-cased-misogyny-sexism-decay0.05-indomain-mix-bal-0
    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-decay0.05-indomain-mix-bal-0
  
  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: 0.5814
  - Accuracy: 0.772
  - F1: 0.7343
  - Precision: 0.8799
  - Recall: 0.63
  - Mae: 0.228
  - Tn: 457
  - Fp: 43
  - Fn: 185
  - Tp: 315
  
  ## 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: 32
  - eval_batch_size: 32
  - 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  |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-----:|:---:|:--:|:---:|:---:|
  | 0.4018        | 1.0   | 1356 | 0.5260          | 0.744    | 0.68   | 0.9067    | 0.544  | 0.256 | 472 | 28 | 228 | 272 |
  | 0.2932        | 2.0   | 2712 | 0.5655          | 0.757    | 0.7047 | 0.8978    | 0.58   | 0.243 | 467 | 33 | 210 | 290 |
  | 0.236         | 3.0   | 4068 | 0.5814          | 0.772    | 0.7343 | 0.8799    | 0.63   | 0.228 | 457 | 43 | 185 | 315 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  