11 Commits (0b4bf54833ef7294cf2ca9309351f9cd0df136fc)

Author	SHA1	Message	Date
thinhlpg	2df9f39fda	feat: update model configuration (longer context) and dataset loading logic for improved performance and flexibility	2 months ago
thinhlpg	eebf914a81	refactor: moved modules from src/deepsearch to src/	2 months ago
thinhlpg	2fec4f2f42	refactor: change repo stucture (move code from src/ to src/deepsearch)	2 months ago
thinhlpg	1a18cd7bfd	feat: update training and evaluation configurations (editable agent generation scripts) ... Increased max_generations parameter in agentic_generate and run_eval functions for improved output flexibility.	2 months ago
thinhlpg	bf480574a2	fix: minor bug	2 months ago
thinhlpg	4de31e0f30	feat: expand reward functions with new strategies and diversity checks ... - Added reward functions for search strategy and search diversity - Updated reward_format to include validation for proper message endings.	2 months ago
thinhlpg	af7f38c792	feat: add code for qwen architecture	2 months ago
thinhlpg	31dcbf5d8a	feat: refactor whole code base, add logic for training R1 distil base models, change some template and reward logics ... - Break down rl_helpers into smaller modules - Removed deprecated rl_helpers module to streamline the codebase. - Enhance initial user prompt template inspired by Search-R1	2 months ago
thinhlpg	da79e986b6	feat: add new script and functionality in train script to save model in 16 bit format	2 months ago
thinhlpg	04593fa8fd	style: change line length to 119, organize imports	2 months ago
thinhlpg	3c2deaced9	refactor: restructure code base, better centralize logging logic	2 months ago