Model Fine‑Tuning Toolkit

• Framework Support: PyTorch, TensorFlow, Hugging Face Transformers.

• Workflow:

  1. Prepare dataset in S3 bucket.

  2. Define training job in finetune-config.yml:

     model: gpt-3.5-turbo
     dataset: s3://orient-datasets/crypto-news
     hyperparameters:
       learning_rate: 2e-5
       batch_size: 32
       epochs: 3

  3. Launch training:

     orient-cli finetune --config finetune-config.yml

  4. Monitor via Kubernetes dashboard or orient-cli finetune status.

• Deployment: Register the fine‑tuned model to the Model Registry:

  orient-cli model register --name "crypto-news-analyzer" --artifact path/to/model.pt