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STEAM-DROPS/finetune-lab-notes
Fine-Tuning Transformers in 2026: Hands-On LLM Training, LoRA, and PEFT Guide
★ 53
Stars
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flat
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
19.9
Momentum / 100
see the breakdown below
47d ago
Created
last push 3d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | flat, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 14.9 | last push 3d ago; decays to zero at 180 days |
| Scale | 15 | 5.0 | 53 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 19.9 | sum of the above |
Detail
| Topics | accelerateaidatasetsevaluatefine-tuninghuggingfacejupyter-notebooknlppythontqdmtrainertransformers |
| Matched on | LLM & Inference (fine-tuning) |
| Short window | +0 stars over 7 days = 0.0/day |
| Long window | +0 stars over 26 days = 0.0/day |
| Lifetime average | 1.19 stars/day over 45 days |
| First seen here | 2026-10-11 |
| Last read | 3d ago |