readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: distilbert-base-uncased__hate_speech_offensive__train-32-5
    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-uncased__hate_speech_offensive__train-32-5
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1327
  - Accuracy: 0.57
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 50
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 1.0972        | 1.0   | 19   | 1.0470          | 0.45     |
  | 0.9738        | 2.0   | 38   | 0.9244          | 0.65     |
  | 0.7722        | 3.0   | 57   | 0.8612          | 0.65     |
  | 0.4929        | 4.0   | 76   | 0.6759          | 0.75     |
  | 0.2435        | 5.0   | 95   | 0.7273          | 0.7      |
  | 0.0929        | 6.0   | 114  | 0.6444          | 0.85     |
  | 0.0357        | 7.0   | 133  | 0.7671          | 0.8      |
  | 0.0173        | 8.0   | 152  | 0.7599          | 0.75     |
  | 0.0121        | 9.0   | 171  | 0.8140          | 0.8      |
  | 0.0081        | 10.0  | 190  | 0.7861          | 0.8      |
  | 0.0066        | 11.0  | 209  | 0.8318          | 0.8      |
  | 0.0057        | 12.0  | 228  | 0.8777          | 0.8      |
  | 0.0053        | 13.0  | 247  | 0.8501          | 0.8      |
  | 0.004         | 14.0  | 266  | 0.8603          | 0.8      |
  | 0.004         | 15.0  | 285  | 0.8787          | 0.8      |
  | 0.0034        | 16.0  | 304  | 0.8969          | 0.8      |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.10.2+cu102
  - Datasets 1.18.2
  - Tokenizers 0.10.3
  