timestamp stringdate 2025-11-18 05:18:54 2025-11-18 05:23:43 | end_timestamp stringdate 2025-11-18 05:19:48 2025-11-18 05:32:43 | stage_name stringclasses 1
value | stage_number int64 1 1 | level stringclasses 1
value | message stringclasses 1
value | stdout_content stringclasses 2
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value | elapsed_time_seconds float64 54.1 540 | stage_complete bool 1
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2025-11-18T05:18:54.691144 | 2025-11-18T05:19:48.755648 | evaluation_eval_0 | 1 | INFO | Complete log capture for stage: evaluation_eval_0 | [INFO] Starting stage: Evaluation - eval_0
[INFO] Starting evaluation pipeline for eval_0
[INFO] Evaluating model: Qwen/Qwen2.5-7B-Instruct
[INFO] Tasks: ['countdown_3arg', 'countdown_4arg', 'countdown_5arg', 'countdown_6arg', 'commonsenseQA', 'gsm8k', 'longmult_2dig', 'longmult_3dig', 'longmult_4dig', 'longmult_5dig',... |
README.md: 0.00B [00:00, ?B/s]
README.md: 15.3kB [00:00, 26.7MB/s]
countdown_3arg/test-00000-of-00001.parqu(…): 0%| | 0.00/199k [00:00<?, ?B/s]
countdown_3arg/test-00000-of-00001.parqu(…)... | FinEval_16k_fulleval_3arg_Q7B_base | 54.064504 | true |
2025-11-18T05:23:44.204587 | 2025-11-18T05:32:44.337640 | evaluation_eval_0 | 1 | INFO | Complete log capture for stage: evaluation_eval_0 | "[INFO] Starting stage: Evaluation - eval_0\n[INFO] Starting evaluation pipeline for eval_0\n[INFO] (...TRUNCATED) | "\u001b[2;36m[11/18/25 05:24:56]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m Getting r(...TRUNCATED) | FinEval_16k_fulleval_3arg_Q7B_base | 540.133053 | true |
Experiment Tracker: FinEval_16k_fulleval_3arg_Q7B_base
Experiment Description: Simple test experiment for Skill Factory workflows.
Start Time: 2025-11-18T05:33:24.962935
Tracker Dataset: TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_Q7B_base__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__FinEval_16k_fulleval_3arg_Q7B_base__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_Q7B_base__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_Q7B_base__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_Q7B_base__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_Q7B_base__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_Q7B_base__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_Q7B_base__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_Q7B_base__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3arg_Q7B_base__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 - FinEval_16k_fulleval_3arg_Q7B_base - {stage_name} - {SFT/RL}
Generated by SkillFactory Experiment Management System All artifacts uploaded immediately as stages complete with perfect data provenance
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