readme: ---
  license: other
  tags:
  - generated_from_trainer
  model-index:
  - name: distilroberta-offensive
    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-offensive
  
  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: 0.4526
  - Acc: 0.8975
  
  ## 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: 5e-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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.2321        | 1.0   | 1030 | 0.2404          | 0.9044 |
  | 0.2539        | 2.0   | 2060 | 0.2139          | 0.9098 |
  | 0.1997        | 3.0   | 3090 | 0.2561          | 0.9090 |
  | 0.1663        | 4.0   | 4120 | 0.2409          | 0.9030 |
  | 0.1515        | 5.0   | 5150 | 0.3000          | 0.9055 |
  | 0.1035        | 6.0   | 6180 | 0.4170          | 0.9027 |
  | 0.0466        | 7.0   | 7210 | 0.4526          | 0.8975 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.1
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  