Add --resume flag for training continuation #10
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- Added --resume flag to run_llm_stylometry.sh and generate_figures.py - Implemented check_model_complete() to verify model training status - Resume logic skips completed models, resumes partial ones, restarts those without weights - Save/restore random states (Python, NumPy, PyTorch, CUDA) for consistent continuation - Updated README with resume documentation - Handles edge case of cloned repos with logs but no weights 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Added --resume/-r flag to remote_train.sh for continuing interrupted training - Script now passes resume mode through SSH to remote server - Updated README with resume documentation for remote training - Supports combining --kill and --resume flags for restart scenarios 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
jeremymanning
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in jeremymanning/llm-stylometry
Oct 20, 2025
Add --resume flag for training continuation
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Summary
--resumeflag to continue training from existing checkpointsChanges
-r, --resumeflag support--resumeargument and logic to skip/continue modelscheck_model_complete()function to verify training status--resumeflag support for remote trainingTest plan
--resumeflag locallymodel.safetensors)--resumeflag🤖 Generated with Claude Code