Leo Borcherding cdeed53a97 fix: disable eval by default, set eval_steps to 0.0 ... - Changed default eval_steps from 0.01 to 0.0 across backend and frontend - Fixed UI to allow eval_steps=0 (removed min=0.001 constraint) - Added conditional eval logic with helpful console messages - Updated tooltip to explain how to disable evaluation - Tested: confirmed eval disabled by default with eval_steps=0.0		2026-02-23 13:07:47 -06:00
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.gitkeep	fix: restore models directory files deleted during restructure	2026-02-02 19:36:30 +00:00
__init__.py	feat: add schemas for local model discovery and listing	2026-02-17 21:53:42 +01:00
auth.py	authentication refactor - added setup token and token refresh mechanism	2026-02-11 12:09:47 +00:00
datasets.py	feat: add eval split auto-detection, eval_steps hyperparam, and eval_loss chart integration	2026-02-16 13:38:54 +00:00
export.py	Adding metadata for checkpoints	2026-02-16 23:46:17 +00:00
inference.py	feat: support disabling top-k sampling with -1 and standardize normalization logic	2026-02-16 21:33:24 +01:00
models.py	feat: add schemas for local model discovery and listing	2026-02-17 21:53:42 +01:00
responses.py	feat: integrate gradient norm tracking in training runtime and metrics	2026-02-17 18:26:59 +01:00
training.py	fix: disable eval by default, set eval_steps to 0.0	2026-02-23 13:07:47 -06:00
users.py	move inline pydantic models - fix existing models routes integration	2026-02-11 12:39:58 +00:00