nystromformer-4096-medqa-usmle-nocontext

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nystromformer-4096-medqa-usmle-nocontext

This model is a fine-tuned version of 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

Framework versions

• Transformers 4.26.0
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2