readme: ---
  license: mit
  tags:
  - generated_from_trainer
  datasets:
  - crows_pairs
  metrics:
  - accuracy
  model-index:
  - name: crowspairs_trainer_roberta-large_finetuned
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: crows_pairs
        type: crows_pairs
        config: crows_pairs
        split: test
        args: crows_pairs
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.4966887417218543
  ---
  
  <!-- 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. -->
  
  # crowspairs_trainer_roberta-large_finetuned
  
  This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the crows_pairs dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6933
  - Accuracy: 0.4967
  
  ## 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: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 0.53  | 20   | 0.6942          | 0.5033   |
  | No log        | 1.05  | 40   | 0.6943          | 0.4967   |
  | No log        | 1.58  | 60   | 0.7100          | 0.4967   |
  | No log        | 2.11  | 80   | 0.6937          | 0.4967   |
  | No log        | 2.63  | 100  | 0.6937          | 0.4967   |
  | No log        | 3.16  | 120  | 0.6936          | 0.4967   |
  | No log        | 3.68  | 140  | 0.6931          | 0.5033   |
  | No log        | 4.21  | 160  | 0.6938          | 0.4967   |
  | No log        | 4.74  | 180  | 0.6933          | 0.4967   |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  