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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-science-exam-sm

This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/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