allenai/olmo-cookbook
Jun 2025 – Jul 2025
2 Months active
Languages Used
YAML
Technical Skills
Configuration ManagementData EngineeringDeep LearningMachine LearningMachine Learning OperationsModel Training Configuration
Allyson Ettinger
PROFILE
Allyson Ettinger
Worked on the allenai/olmo-cookbook repository to enhance the OLMo2 training pipeline by introducing a microannealing recipe for mid-training at scale, extending input context length, and updating training job configurations to support broader data sources and improved resource allocation. Leveraged YAML for configuration management, applying data engineering and machine learning operations skills to optimize training efficiency and enable longer-context reasoning tasks. Additionally, implemented a data source naming update to align configuration with current dataset usage, improving data provenance and reproducibility. The work focused on robust, traceable configuration changes that support stable deployments and facilitate collaboration within machine learning workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
2
Lines of code
43
Activity Months2
Your Network
52 peopleWork History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered an essential data-source naming update for the OLMo training pipeline in the allenai/olmo-cookbook project. Updated the YAML configuration to replace the dataset source name from 'dclm' to 'web', ensuring the configuration matches the current data source usage. This change was implemented via a single commit, establishing clearer data provenance and improving the reliability of future training runs.
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered an essential data-source naming update for the OLMo training pipeline in the allenai/olmo-cookbook project. Updated the YAML configuration to replace the dataset source name from 'dclm' to 'web', ensuring the configuration matches the current data source usage. This change was implemented via a single commit, establishing clearer data provenance and improving the reliability of future training runs.
July 2025
June 2025
4 Commits • 1 Features
Jun 1, 20252025-06 monthly summary for allenai/olmo-cookbook: Delivered OLMo2 training pipeline enhancements including a microannealing recipe for mid-training at 10B tokens across web/code/reasoning datasets, extended input context with sequence_length 4096, updated training job configuration with a new workspace path and expanded data sources, and a budget realignment reallocating resources from ai2/oe-training to ai2/oe-base. The changes improve training efficiency, enable longer-context reasoning tasks, improve data coverage, and optimize resource planning. Demonstrated MLOps and config-management skills, solid commit-level traceability, and business value through faster iterations and cost transparency.
June 2025
4 Commits • 1 Features
Jun 1, 20252025-06 monthly summary for allenai/olmo-cookbook: Delivered OLMo2 training pipeline enhancements including a microannealing recipe for mid-training at 10B tokens across web/code/reasoning datasets, extended input context with sequence_length 4096, updated training job configuration with a new workspace path and expanded data sources, and a budget realignment reallocating resources from ai2/oe-training to ai2/oe-base. The changes improve training efficiency, enable longer-context reasoning tasks, improve data coverage, and optimize resource planning. Demonstrated MLOps and config-management skills, solid commit-level traceability, and business value through faster iterations and cost transparency.
Activity
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Quality Metrics
Correctness96.0%
Maintainability96.0%
Architecture96.0%
Performance84.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
Configuration ManagementData EngineeringDeep LearningMachine LearningMachine Learning OperationsModel Training Configuration
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