readme: ---
  license: other
  tags:
  - generated_from_trainer
  model-index:
  - name: distilroberta-hatespeech
    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. -->
  
  # distilroberta-hatespeech
  
  This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3619
  - Acc: 0.8423
  
  ## 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: 32
  - eval_batch_size: 32
  - seed: 12345
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 16
  - num_epochs: 20
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Acc    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 0.3096        | 1.0   | 4021  | 0.3375          | 0.8540 |
  | 0.3711        | 2.0   | 8042  | 0.3305          | 0.8574 |
  | 0.322         | 3.0   | 12063 | 0.3398          | 0.8534 |
  | 0.3197        | 4.0   | 16084 | 0.3444          | 0.8504 |
  | 0.3332        | 5.0   | 20105 | 0.3619          | 0.8423 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.1
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  