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distilbert-science-exam-sm

Multiple Choice
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distilbert
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metadata
license: apache-2.0
base_model: distilbert-base-cased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: distilbert-science-exam-sm
    results: []

distilbert-science-exam-sm

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
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 6 1.0428 0.5
No log 2.0 12 1.3253 0.5
No log 3.0 18 1.2390 0.7

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1
  • Datasets 2.14.0
  • Tokenizers 0.13.3