readme: ---
  metrics:
  - accuracy
  
  model-index:
  - name: c4-aristo-roberta-large
  ---
  
  <!-- 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. -->
  
  # c4-aristo-roberta-large
  
  This model was trained from scratch on an unkown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0332
  - Accuracy: 0.7370
  
  ## 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: 1e-05
  - train_batch_size: 4
  - eval_batch_size: 8
  - seed: 42
  - distributed_type: multi-GPU
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.8204        | 1.0   | 140  | 0.7246          | 0.7171   |
  | 0.5512        | 2.0   | 280  | 0.7441          | 0.7312   |
  | 0.3437        | 3.0   | 420  | 0.8940          | 0.7363   |
  | 0.291         | 4.0   | 560  | 1.0332          | 0.7370   |
  
  
  ### Framework versions
  
  - Transformers 4.6.1
  - Pytorch 1.10.0.dev20210620+cu113
  - Datasets 1.6.2
  - Tokenizers 0.10.2
  