Roland Tannous
a0f03d3080
Add AGPL-3.0 SPDX headers to all source files
2026-03-09 20:17:45 +00:00
Roland Tannous
a7d78d16be
fix: restore eval_enabled early signal for subprocess training
2026-03-09 15:35:49 +00:00
samit
6aa50d353f
exposed trust_remote_code through the UI
2026-03-08 16:28:56 -07:00
Roland Tannous
c38d24b01d
fix: replace is_dataset_multimodal with is_dataset_image/is_dataset_audio in training orchestrator
2026-03-08 19:40:00 +00:00
Roland Tannous
082a6f876e
fix: join prior pump thread before starting new training job
2026-03-07 08:37:03 +00:00
Roland Tannous
f90af41c5f
feat: subprocess-based training for transformers version switching
2026-03-05 15:40:32 +00:00
Roland Tannous
64889cd5fc
feat: add index range dataset slicing to studio training page
...
Add Start/End index inputs under Advanced in the dataset card,
allowing users to slice a dataset by row range before training.
Wired end-to-end: frontend store, API payload, backend Pydantic
model, and trainer dataset loading (inclusive on both ends).
2026-03-04 23:24:09 +00:00
Roland Tannous
9333f99dd3
Revert "Add index range dataset slicing to Studio training page"
2026-03-05 03:21:07 +04:00
Roland Tannous
02b17ec6d9
feat: add index range dataset slicing to studio training page
...
Add Start/End index inputs under Advanced in the dataset card,
allowing users to slice a dataset by row range before training.
Wired end-to-end: frontend store, API payload, backend Pydantic
model, and trainer dataset loading (inclusive on both ends).
2026-03-04 21:48:40 +00:00
Roland Tannous
a15082acfe
skip eval split and HF split detection when eval_steps is disabled
2026-02-24 09:26:54 +00:00
Leo Borcherding
86388a0242
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
Shine1i
b31461790f
feat: enhance training stop and reset flow with detailed checks
2026-02-17 23:32:22 +01:00
Shine1i
f47c424be3
feat: integrate gradient norm tracking in training runtime and metrics
...
- Enhanced chart logic to filter and visualize finite gradient norm values.
2026-02-17 18:26:59 +01:00
Roland Tannous
108ec254cb
Merge branch 'nightly' into feature/eval-split-auto-detection
2026-02-17 01:11:30 +04:00
Roland Tannous
18879a521b
feat: auto-detect model+dataset compatibility to select VLM vs LLM training path
2026-02-16 19:18:49 +00:00
Roland Tannous
3b117189c5
feat: add eval_enabled flag and format-first-then-split for eval dataset
2026-02-16 14:13:55 +00:00
Roland Tannous
90c3561adb
feat: add eval split auto-detection, eval_steps hyperparam, and eval_loss chart integration
2026-02-16 13:38:54 +00:00
Roland Tannous
38cb5c9496
feat: thread dataset subset/split params from API routes through to load_dataset calls
2026-02-16 03:56:22 +00:00
Manan17
df5f45058f
Fixing stuck training processes
2026-02-15 05:38:06 +00:00
Manan17
354b7d0aca
feat: add cancel or save and stop training
2026-02-15 00:00:22 +00:00
Roland Tannous
8304060b9f
fix: increase SSE progress timeout to 30min and allow step-0 updates
2026-02-14 05:47:22 +00:00
Roland Tannous
286d5ff0a7
feat: wire custom_format_mapping through training pipeline to format_and_template_dataset
2026-02-13 21:07:36 +00:00
Roland Tannous
88f68eaadf
refactor: remove gradio dependency from training backend
2026-02-13 09:25:49 +00:00
Roland Tannous
75d8dcc824
root studio folder
2026-02-02 09:13:49 +00:00
