Codex 72ea72b49c feat(training): LoRA pipeline with human-in-the-loop verification ...

- PEFT/LoRA fine-tuning (r=8, alpha=16) — only 1.2% params trainable
- Data augmentation: templates + crypto slang (5x from 177→885 samples)
- Human-in-the-loop CLI verification with persistent JSONL log
- Disk-conscious: save_total_limit=1, ~6MB adapter size
- CPU-friendly, single-file deployment
- Tested: 1 epoch in ~4min on CPU, 6MB adapter

2026-09-26 18:54:41 +02:00

sentiment_engine

feat(training): LoRA pipeline with human-in-the-loop verification

2026-09-26 18:54:41 +02:00

Description

Sentiment analysis engine with ONNX FinBERT + LoRA adapters

7.8 MiB

Languages

Python 99.9%

Dockerfile 0.1%