Fine-tune a BERT or FLAN-T5 model for your NLP task

Do you need an NLP model that understands your specific domain —
not a generic off-the-shelf solution? I will fine-tune a pre-trained
transformer model (BERT, FLAN-T5, or Hugging Face models) on your
custom dataset to deliver accurate, context-aware results.

I have hands-on experience fine-tuning BERT for answer evaluation
and FLAN-T5 for intelligent question generation, having built a
complete AI-powered assessment platform deployed as a full web
application using Python and Flask.

What you will receive:
- Fine-tuned transformer model trained on your dataset
- Training and validation performance report
- Python inference code for running predictions
- Saved model files ready for deployment or integration
- Clear documentation for use and extension

Use cases I can handle:
Text classification, sentiment analysis, question generation,
answer evaluation, named entity recognition, text summarization,
information extraction.

To get started, please provide:
- Your dataset or text samples (CSV, JSON, or plain text)
- Task description (what you want the model to do)
- Any accuracy benchmarks or constraints