readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: nystromformer-4096-medqa-usmle-nocontext
    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. -->
  
  # nystromformer-4096-medqa-usmle-nocontext
  
  This model is a fine-tuned version of [uw-madison/nystromformer-4096](https://huggingface.co/uw-madison/nystromformer-4096) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.4537
  - Accuracy: 0.2883
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - gradient_accumulation_steps: 32
  - total_train_batch_size: 128
  - 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        | 0.99  | 79   | 1.3860          | 0.2467   |
  | No log        | 1.99  | 158  | 1.3853          | 0.2616   |
  | No log        | 2.99  | 237  | 1.3785          | 0.2820   |
  | No log        | 3.99  | 316  | 1.3801          | 0.2820   |
  | No log        | 4.99  | 395  | 1.4537          | 0.2883   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  