readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: distilbert-base-uncased__hate_speech_offensive__train-16-4
    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-16-4
  
  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: 1.0903
  - Accuracy: 0.4805
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 1.0974        | 1.0   | 10   | 1.1139          | 0.1      |
  | 1.0637        | 2.0   | 20   | 1.0988          | 0.1      |
  | 0.9758        | 3.0   | 30   | 1.1013          | 0.1      |
  | 0.9012        | 4.0   | 40   | 1.0769          | 0.3      |
  | 0.6993        | 5.0   | 50   | 1.0484          | 0.6      |
  | 0.5676        | 6.0   | 60   | 1.0223          | 0.6      |
  | 0.4069        | 7.0   | 70   | 0.9190          | 0.6      |
  | 0.3192        | 8.0   | 80   | 1.1370          | 0.6      |
  | 0.1112        | 9.0   | 90   | 1.1728          | 0.6      |
  | 0.07          | 10.0  | 100  | 1.1998          | 0.6      |
  | 0.0397        | 11.0  | 110  | 1.3700          | 0.6      |
  | 0.027         | 12.0  | 120  | 1.3329          | 0.6      |
  | 0.021         | 13.0  | 130  | 1.2697          | 0.6      |
  | 0.0177        | 14.0  | 140  | 1.4195          | 0.6      |
  | 0.0142        | 15.0  | 150  | 1.5342          | 0.6      |
  | 0.0118        | 16.0  | 160  | 1.5999          | 0.6      |
  | 0.0108        | 17.0  | 170  | 1.6327          | 0.6      |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.10.2+cu102
  - Datasets 1.18.2
  - Tokenizers 0.10.3
  