readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - race
  model-index:
  - name: longformer_race
    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. -->
  
  # longformer_race
  
  This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the race dataset.
  It achieves the following results on the evaluation set:
  - eval_loss: 0.8572
  - eval_accuracy: 0.6647
  - eval_runtime: 327.7157
  - eval_samples_per_second: 10.674
  - eval_steps_per_second: 10.674
  - epoch: 1.0
  - step: 2497
  
  ## 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: 1
  - eval_batch_size: 1
  - seed: 42
  - gradient_accumulation_steps: 25
  - total_train_batch_size: 25
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2
  
  ### Framework versions
  
  - Transformers 4.21.3
  - Pytorch 1.12.1
  - Datasets 2.5.1
  - Tokenizers 0.11.0
  