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---
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---
# Experiment Tracker: 1123_newmodels__olmo7b_sft_r1_ct3arg
**Experiment Description:** Experiment: 1123_newmodels__olmo7b_sft_r1_ct3arg
**Start Time:** 2025-11-26T13:37:11.086300
**Tracker Dataset:** [SkillFactory/D-ExpTracker__1123_newmodels__olmo7b_sft_r1_ct3arg__v1](https://huggingface.co/datasets/SkillFactory/D-ExpTracker__1123_newmodels__olmo7b_sft_r1_ct3arg__v1)
## Stages Completed
Total stages: 1
## Models Created
- **rl**: [SkillFactory/M-1123_newmodels__olmo7b_sft_r1_ct3arg-rl](https://huggingface.co/SkillFactory/M-1123_newmodels__olmo7b_sft_r1_ct3arg-rl)
## 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:
```python
from datasets import load_dataset
# Load experiment metadata
metadata = load_dataset('SkillFactory/D-ExpTracker__1123_newmodels__olmo7b_sft_r1_ct3arg__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('SkillFactory/D-ExpTracker__1123_newmodels__olmo7b_sft_r1_ct3arg__v1', 'training_data__sft')
sft_metadata = load_dataset('SkillFactory/D-ExpTracker__1123_newmodels__olmo7b_sft_r1_ct3arg__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('SkillFactory/D-ExpTracker__1123_newmodels__olmo7b_sft_r1_ct3arg__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('SkillFactory/D-ExpTracker__1123_newmodels__olmo7b_sft_r1_ct3arg__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('SkillFactory/D-ExpTracker__1123_newmodels__olmo7b_sft_r1_ct3arg__v1', 'logs__sft')
rl_logs = load_dataset('SkillFactory/D-ExpTracker__1123_newmodels__olmo7b_sft_r1_ct3arg__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('SkillFactory/D-ExpTracker__1123_newmodels__olmo7b_sft_r1_ct3arg__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('SkillFactory/D-ExpTracker__1123_newmodels__olmo7b_sft_r1_ct3arg__v1', 'evals_eval_rl')
```
## Models
- [SkillFactory/M-1123_newmodels__olmo7b_sft_r1_ct3arg-rl](https://huggingface.co/SkillFactory/M-1123_newmodels__olmo7b_sft_r1_ct3arg-rl)
## Registry
All models from this experiment are automatically registered in the [SkillFactory Model Registry](https://huggingface.co/datasets/TAUR-dev/SkillFactory-Registration) 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 - 1123_newmodels__olmo7b_sft_r1_ct3arg - {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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