This model is a fine-tuned version of distilbert-base-cased on the LLM Science Exam dataset from Kaggle for MCQA.
It achieves the following results on the evaluation set:
Loss: 1.2390
Accuracy: 0.7
Intended uses & limitations
Multiple Choice Question & Answer on Medical Topics
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: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
