readme: ---
  license: other
  tags:
  - generated_from_trainer
  model-index:
  - name: distilroberta-mbfc-bias-4class
    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-mbfc-bias-4class
  
  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: 0.5336
  - Acc: 0.8503
  
  ## 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: 3e-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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.488         | 1.0   | 584  | 0.3702          | 0.8519 |
  | 0.3544        | 2.0   | 1168 | 0.3531          | 0.8575 |
  | 0.3602        | 3.0   | 1752 | 0.3068          | 0.8896 |
  | 0.2555        | 4.0   | 2336 | 0.3560          | 0.8715 |
  | 0.1695        | 5.0   | 2920 | 0.3896          | 0.8704 |
  | 0.117         | 6.0   | 3504 | 0.5336          | 0.8503 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.1
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  