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---
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 |