readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  - precision
  - recall
  model-index:
  - name: roberta-large-mnli-misogyny-sexism-4tweets-2e-05-0.05
    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. -->
  
  # roberta-large-mnli-misogyny-sexism-4tweets-2e-05-0.05
  
  This model is a fine-tuned version of [roberta-large-mnli](https://huggingface.co/roberta-large-mnli) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6222
  - Accuracy: 0.7064
  - F1: 0.7158
  - Precision: 0.6462
  - Recall: 0.8022
  - Mae: 0.2936
  - Tn: 336
  - Fp: 202
  - Fn: 91
  - Tp: 369
  
  ## 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: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Mae    | Tn  | Fp  | Fn | Tp  |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|:---:|:---:|:--:|:---:|
  | 0.5053        | 1.0   | 1346 | 0.6657          | 0.6663   | 0.7013 | 0.5969    | 0.85   | 0.3337 | 274 | 264 | 69 | 391 |
  | 0.4093        | 2.0   | 2692 | 0.6222          | 0.7064   | 0.7158 | 0.6462    | 0.8022 | 0.2936 | 336 | 202 | 91 | 369 |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.0+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  