readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: distilbert-base-uncased__hate_speech_offensive__train-8-4
    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-8-4
  
  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: 1.1045
  - Accuracy: 0.128
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 1.1115        | 1.0   | 5    | 1.1174          | 0.0      |
  | 1.0518        | 2.0   | 10   | 1.1379          | 0.0      |
  | 1.0445        | 3.0   | 15   | 1.1287          | 0.0      |
  | 0.9306        | 4.0   | 20   | 1.1324          | 0.2      |
  | 0.8242        | 5.0   | 25   | 1.1219          | 0.2      |
  | 0.7986        | 6.0   | 30   | 1.1369          | 0.4      |
  | 0.7369        | 7.0   | 35   | 1.1732          | 0.2      |
  | 0.534         | 8.0   | 40   | 1.1828          | 0.6      |
  | 0.4285        | 9.0   | 45   | 1.1482          | 0.6      |
  | 0.3691        | 10.0  | 50   | 1.1401          | 0.6      |
  | 0.3215        | 11.0  | 55   | 1.1286          | 0.6      |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.10.2+cu102
  - Datasets 1.18.2
  - Tokenizers 0.10.3
  