readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  - precision
  - recall
  model-index:
  - name: distilbert-base-multilingual-cased-finetuned-misogyny-sexism-out-of-sample-test-opt-EN
    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-finetuned-misogyny-sexism-out-of-sample-test-opt-EN
  
  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: 1.0225
  - Accuracy: 0.8312
  - F1: 0.3169
  - Precision: 0.2393
  - Recall: 0.4689
  - Mae: 0.1688
  
  ## 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall | Mae    |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
  | 0.3654        | 1.0   | 2395  | 0.3117          | 0.8590   | 0.3599 | 0.2898    | 0.4747 | 0.1410 |
  | 0.3289        | 2.0   | 4790  | 0.4348          | 0.7582   | 0.3375 | 0.2188    | 0.7374 | 0.2418 |
  | 0.2615        | 3.0   | 7185  | 0.3927          | 0.8425   | 0.3448 | 0.2642    | 0.4961 | 0.1575 |
  | 0.1982        | 4.0   | 9580  | 0.8717          | 0.7641   | 0.3170 | 0.2091    | 0.6556 | 0.2359 |
  | 0.176         | 5.0   | 11975 | 0.5349          | 0.8573   | 0.3328 | 0.2731    | 0.4261 | 0.1427 |
  | 0.1422        | 6.0   | 14370 | 0.8742          | 0.8130   | 0.3062 | 0.2218    | 0.4942 | 0.1870 |
  | 0.1161        | 7.0   | 16765 | 0.7036          | 0.8700   | 0.2870 | 0.2648    | 0.3132 | 0.1300 |
  | 0.1218        | 8.0   | 19160 | 0.7793          | 0.8512   | 0.3113 | 0.2537    | 0.4027 | 0.1488 |
  | 0.0991        | 9.0   | 21555 | 0.8698          | 0.8518   | 0.3153 | 0.2567    | 0.4086 | 0.1482 |
  | 0.092         | 10.0  | 23950 | 1.0225          | 0.8312   | 0.3169 | 0.2393    | 0.4689 | 0.1688 |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  