---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
model-index:
- name: multichoice-question-generator
  results: []
---



# multichoice-question-generator

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co./facebook/bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1787

## Model description

More information needed

## Intended uses & limitations
This is an early version of a model meant to generate multichoice questions from text

# Link to sample usage guide
https://github.com/Gach-omba/Multichoice-question-generation/blob/main/sample_usage.ipynb
## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2218        | 1.0   | 1000 | 0.1910          |
| 0.1913        | 2.0   | 2000 | 0.1811          |
| 0.1727        | 3.0   | 3000 | 0.1787          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Tokenizers 0.19.1