TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__v1

Experiment Tracker: RC_VarFix_pv_v2

Experiment Description: Simple test experiment for Skill Factory workflows.

Start Time: 2025-09-21T01:37:18.045706

Tracker Dataset: TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__v1

Stages Completed

Total stages: 1

Models Created

Dataset Configurations

This tracker dataset contains the following configurations with immediate upload as stages complete:

Training Data (Complete Datasets)

Hyperparameters (Complete Configurations)

Logs (Stage-Specific)

Evaluation Results (Complete with Annotations)

Metadata

• experiment_metadata: Timeline and stage information

Usage

Load specific configurations with:

from datasets import load_dataset

# Load experiment metadata
metadata = load_dataset('TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__v1', 'experiment_metadata')

# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__v1', 'training_data__sft_metadata')

# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__v1', 'hyperparameters__rl')

# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__v1', 'logs__rl')

# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__RC_VarFix_pv_v2__v1', 'evals_eval_rl')

Models

Registry

All models from this experiment are automatically registered in the SkillFactory Model Registry with:

• Complete training configuration (hyperparameters, datasets, methods)
• Experiment lineage (links back to this tracker dataset)
• Stage-specific metadata (SFT vs RL training details)
• Structured input data references (training datasets and configurations)

Registry entries follow the naming pattern: Model - RC_VarFix_pv_v2 - {stage_name} - {SFT/RL}

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Generated by SkillFactory Experiment Management System All artifacts uploaded immediately as stages complete with perfect data provenance