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bigbird-roberta-base-medqa-usmle-nocontext

This model is a fine-tuned version of google/bigbird-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3863
  • Accuracy: 0.2592

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: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.392 1.0 636 1.3863 0.2333
1.39 2.0 1272 1.3863 0.2592
1.3896 3.0 1908 1.3863 0.2592

Framework versions

  • Transformers 4.26.0
  • Pytorch 1.13.1+cu116
  • Datasets 2.8.0
  • Tokenizers 0.13.2
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