unsloth/studio/backend
Daniel Han eb15b31e3e studio: improve training progress messages for large datasets
Add granular status updates through the full preprocessing pipeline:
- "Downloading dataset: Open-Orca/OpenOrca..." before HF download
- "Downloaded Open-Orca/OpenOrca (4,233,923 rows)" after download
- "Formatting dataset (4,233,923 rows)..." before format step
- "Applying chat template to chatml_conversations (4,233,923 rows)..."
- "Dataset ready (4,233,923 samples, chatml_conversations format)"

Shows detected format name and row counts at each stage so users
can see progress through large dataset preprocessing instead of
a static "Loading and formatting dataset..." for minutes.
2026-03-16 15:03:58 +00:00
..
assets studio: per-model inference defaults, GGUF slider fix, reasoning toggle (#4325) 2026-03-16 06:37:55 -07:00
auth fix: remove old comments (#4292) 2026-03-14 16:50:13 +04:00
core studio: improve training progress messages for large datasets 2026-03-16 15:03:58 +00:00
loggers Final cleanup 2026-03-12 18:28:04 +00:00
models studio: per-model inference defaults, GGUF slider fix, reasoning toggle (#4325) 2026-03-16 06:37:55 -07:00
plugins Final cleanup 2026-03-12 18:28:04 +00:00
requirements fix: remove old comments (#4292) 2026-03-14 16:50:13 +04:00
routes [pre-commit.ci] auto fixes from pre-commit.com hooks 2026-03-16 14:02:50 +00:00
state Final cleanup 2026-03-12 18:28:04 +00:00
tests fix(seed): disable remote code execution in seed inspect dataset loads (#4275) 2026-03-13 19:37:43 +04:00
utils studio: improve training progress messages for large datasets 2026-03-16 15:03:58 +00:00
__init__.py Final cleanup 2026-03-12 18:28:04 +00:00
colab.py Final cleanup 2026-03-12 18:28:04 +00:00
main.py studio: training progress visibility + deferred llama.cpp compilation 2026-03-16 14:02:20 +00:00
run.py fix: Ctrl+C not terminating backend on Linux (#4316) 2026-03-16 11:58:09 +04:00