my_awesome_qa_model
This model is a fine-tuned version of distilbert-base-uncased, trained on the SQuAD v1.1 dataset.
It achieved the following results on the validation set:
- Loss: 1.7489
How to Use
from transformers import pipeline
# Load the model
question_answerer = pipeline(
"question-answering",
model="real-jiakai/my_awesome_qa_model",
tokenizer="real-jiakai/my_awesome_qa_model"
)
# English example
context_en = """
Donald Trump was the 45th president of the United States, serving from 2017 to 2021.
"""
question_en = "Who was the 45th president of the United States?"
result_en = question_answerer(question=question_en, context=context_en)
print("Answer:", result_en['answer'])
License
This model is licensed under the MIT License.
Citation
If you use this model in your work, please cite:
@misc{my_awesome_qa_model,
author = {real-jiakai},
title = {my_awesome_qa_model},
year = {2024},
url = {https://huggingface.co/real-jiakai/my_awesome_qa_model},
publisher = {Hugging Face}
}
- Downloads last month
- 25
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for real-jiakai/my_awesome_qa_model
Base model
distilbert/distilbert-base-uncasedDataset used to train real-jiakai/my_awesome_qa_model
Evaluation results
- Exact Match on SQuAD v1.1validation set self-reportedPlease fill in your EM score
- F1 Score on SQuAD v1.1validation set self-reportedPlease fill in your F1 score