Trainline — Datasets
0 datasetsTrainline turns reviewed cases into LoRA training data and tracks the fine-tuned adapters built from it — the JSONL datasets below, and the trained adapters with their loss curves further down. The adapter behind the Classifier bot is trained here.
how to use this view
How to use. psyc train-build-all builds the datasets below; the Dockerfile.train workflow fine-tunes an adapter; both then appear here.
What you're seeing. JSONL datasets with example counts, and trained QLoRA adapters with their base model, hyperparameters, and per-step loss curve.
Why it matters. The adapter behind the Classifier bot is built here — this page is the provenance of the model that's actually in operation.
No datasets yet. Run psyc train-build-all.
Trainline — Adapters
0 adaptersNo adapters yet. Build Dockerfile.train and run a QLoRA fine-tune.