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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# question-generator

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the SQUAD dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1315

## Model description

More information needed

## Intended uses & limitations

### Sample Usage
def generate_question(context):
    inputs = tokenizer(context, return_tensors="pt")
    output = model.generate(**inputs)
    question = tokenizer.decode(output[0], skip_special_tokens=True)
    return question 
print(generate_question("Paris is the capital city of France"))
## Training and evaluation data

This model is trained and evaluated on the SQUAD dataset

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.9322        | 1.0   | 10950 | 3.1334          |
| 2.6046        | 2.0   | 21900 | 3.1102          |
| 2.3742        | 3.0   | 32850 | 3.1315          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1