readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: distilbert-base-uncased__hate_speech_offensive__train-8-2
    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-8-2
  
  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: 1.1019
  - Accuracy: 0.139
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 1.1082        | 1.0   | 5    | 1.1432          | 0.0      |
  | 1.0524        | 2.0   | 10   | 1.1613          | 0.0      |
  | 1.0641        | 3.0   | 15   | 1.1547          | 0.0      |
  | 0.9592        | 4.0   | 20   | 1.1680          | 0.0      |
  | 0.9085        | 5.0   | 25   | 1.1762          | 0.0      |
  | 0.8508        | 6.0   | 30   | 1.1809          | 0.2      |
  | 0.7263        | 7.0   | 35   | 1.1912          | 0.2      |
  | 0.6448        | 8.0   | 40   | 1.2100          | 0.2      |
  | 0.5378        | 9.0   | 45   | 1.2037          | 0.2      |
  | 0.5031        | 10.0  | 50   | 1.2096          | 0.2      |
  | 0.4041        | 11.0  | 55   | 1.2203          | 0.2      |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.10.2+cu102
  - Datasets 1.18.2
  - Tokenizers 0.10.3
  