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
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__init__.py	Final cleanup	2026-03-12 18:28:04 +00:00
trainer.py	studio: improve training progress messages for large datasets	2026-03-16 15:03:58 +00:00
training.py	[Feature] studio: user can upload eval dataset (#4307)	2026-03-16 11:15:50 +04:00
worker.py	[Feature] studio: user can upload eval dataset (#4307)	2026-03-16 11:15:50 +04:00