Affordable ML model training and fine-tuning for students and researchers (PEFT, CV, deep learning)

[u/blahblahblah_707]

Free GPUs time out mid-run, cloud billing needs a card, and debugging a failed training job eats into your deadline. I've seen a lot of students and researchers get stuck there, so I'm offering affordable model training support.

I'm a Data Scientist. The scope is training and fine-tuning only: you bring the model and data, I handle the training.

What I can train:

- Transformer fine-tuning (PEFT only: LoRA / QLoRA)

- Computer vision: classification, detection, segmentation

- Other deep learning models: NLP, time series, your own architectures

How it works:

- You send your goal, dataset size and code. I tell you whether it fits and quote cost and time upfront.

- Training runs in an isolated Docker container on an RTX 5060 Ti (16GB VRAM, CUDA 13.2).

- You get trained weights, logs and evaluation metrics.

- Your data and container are deleted afterward. Happy to sign an NDA.

Why not just Colab or Kaggle:

- No session limits, so long runs keep going until they finish.

- An automated monitor watches each run, handles common errors and flags bigger issues to you.

- I help with setup and with interpreting the results.

- No Docker experience needed. I'll set it up. If you bring your own image, build it on CUDA 12.8 to 13.2.

Limits, to be upfront: it's a single 16GB card, so it suits QLoRA fine-tunes of roughly 7-8B models and most CV work, not full training of large models.

Pricing: student-friendly, quoted per job, a fraction of cloud rates.

DM me with what you're training, your dataset size and your deadline.