| | --- |
| | dataset_info: |
| | - config_name: hyperparameters__sft |
| | features: |
| | - name: model_name_or_path |
| | dtype: string |
| | - name: trust_remote_code |
| | dtype: bool |
| | - name: stage |
| | dtype: string |
| | - name: do_train |
| | dtype: bool |
| | - name: finetuning_type |
| | dtype: string |
| | - name: deepspeed |
| | dtype: string |
| | - name: dataset |
| | dtype: string |
| | - name: template |
| | dtype: string |
| | - name: cutoff_len |
| | dtype: int64 |
| | - name: max_samples |
| | dtype: int64 |
| | - name: overwrite_cache |
| | dtype: bool |
| | - name: preprocessing_num_workers |
| | dtype: int64 |
| | - name: dataloader_num_workers |
| | dtype: int64 |
| | - name: disable_tqdm |
| | dtype: bool |
| | - name: output_dir |
| | dtype: string |
| | - name: logging_steps |
| | dtype: int64 |
| | - name: save_steps |
| | dtype: int64 |
| | - name: plot_loss |
| | dtype: bool |
| | - name: overwrite_output_dir |
| | dtype: bool |
| | - name: per_device_train_batch_size |
| | dtype: int64 |
| | - name: gradient_accumulation_steps |
| | dtype: int64 |
| | - name: learning_rate |
| | dtype: float64 |
| | - name: num_train_epochs |
| | dtype: int64 |
| | - name: lr_scheduler_type |
| | dtype: string |
| | - name: warmup_ratio |
| | dtype: float64 |
| | - name: weight_decay |
| | dtype: float64 |
| | - name: adam_beta1 |
| | dtype: float64 |
| | - name: adam_beta2 |
| | dtype: float64 |
| | - name: bf16 |
| | dtype: bool |
| | - name: ddp_timeout |
| | dtype: int64 |
| | - name: gradient_checkpointing |
| | dtype: bool |
| | - name: save_only_model |
| | dtype: bool |
| | - name: enable_masked_ranges |
| | dtype: bool |
| | - name: save_strategy |
| | dtype: string |
| | - name: save_total_limit |
| | dtype: int64 |
| | - name: sf_tracker_dataset_id |
| | dtype: string |
| | - name: sf_eval_before_training |
| | dtype: bool |
| | - name: sf_wandb_project |
| | dtype: string |
| | - name: sf_eval_steps |
| | dtype: 'null' |
| | - name: run_name |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 570 |
| | num_examples: 1 |
| | download_size: 17911 |
| | dataset_size: 570 |
| | - config_name: logs__llamafactory_sft |
| | features: |
| | - name: timestamp |
| | dtype: string |
| | - name: end_timestamp |
| | dtype: string |
| | - name: stage_name |
| | dtype: string |
| | - name: stage_number |
| | dtype: int64 |
| | - name: level |
| | dtype: string |
| | - name: message |
| | dtype: string |
| | - name: stdout_content |
| | dtype: string |
| | - name: stderr_content |
| | dtype: string |
| | - name: experiment_name |
| | dtype: string |
| | - name: elapsed_time_seconds |
| | dtype: float64 |
| | - name: stage_complete |
| | dtype: bool |
| | splits: |
| | - name: train |
| | num_bytes: 630818 |
| | num_examples: 1 |
| | download_size: 180701 |
| | dataset_size: 630818 |
| | - config_name: metadata |
| | features: |
| | - name: experiment_name |
| | dtype: string |
| | - name: start_time |
| | dtype: string |
| | - name: description |
| | dtype: string |
| | - name: base_org |
| | dtype: string |
| | - name: stage_number |
| | dtype: string |
| | - name: stage_type |
| | dtype: string |
| | - name: status |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 1918 |
| | num_examples: 5 |
| | download_size: 4518 |
| | dataset_size: 1918 |
| | - config_name: training_data__sft |
| | features: |
| | - name: split |
| | dtype: string |
| | - name: example_idx |
| | dtype: int64 |
| | - name: stage_name |
| | dtype: string |
| | - name: timestamp |
| | dtype: string |
| | - name: conversations |
| | list: |
| | - name: content |
| | dtype: string |
| | - name: role |
| | dtype: string |
| | - name: question |
| | dtype: string |
| | - name: source |
| | dtype: 'null' |
| | - name: id |
| | dtype: 'null' |
| | - name: prompt |
| | list: |
| | - name: content |
| | dtype: string |
| | - name: role |
| | dtype: string |
| | - name: answer |
| | dtype: string |
| | - name: prompt_type |
| | dtype: string |
| | - name: model_responses__example_annotation |
| | sequence: string |
| | - name: model_responses__example_annotation__finish_reason_length_flags |
| | sequence: bool |
| | - name: model_responses__example_annotation__length_partial_responses |
| | sequence: string |
| | - name: prompt__example_annotation__metadata |
| | struct: |
| | - name: api_url |
| | dtype: string |
| | - name: backend |
| | dtype: string |
| | - name: chat_template_applied |
| | dtype: bool |
| | - name: generation_params |
| | struct: |
| | - name: chat_template_applied |
| | dtype: bool |
| | - name: max_tokens |
| | dtype: int64 |
| | - name: n |
| | dtype: int64 |
| | - name: repetition_penalty |
| | dtype: float64 |
| | - name: temperature |
| | dtype: float64 |
| | - name: top_k |
| | dtype: int64 |
| | - name: top_p |
| | dtype: float64 |
| | - name: model_name |
| | dtype: string |
| | - name: prompt |
| | list: |
| | - name: content |
| | dtype: string |
| | - name: role |
| | dtype: string |
| | - name: model_responses__example_annotation__metadata |
| | struct: |
| | - name: backend |
| | dtype: string |
| | - name: model_name |
| | dtype: string |
| | - name: n_responses |
| | dtype: int64 |
| | - name: task_source |
| | dtype: string |
| | - name: task_config |
| | dtype: string |
| | - name: model_responses__example_annotation__eval_is_correct |
| | sequence: bool |
| | - name: model_responses__example_annotation__eval_extracted_answers |
| | sequence: string |
| | - name: model_responses__example_annotation__eval_extraction_metadata |
| | dtype: string |
| | - name: model_responses__example_annotation__eval_evaluation_metadata |
| | dtype: string |
| | - name: model_responses__example_annotation__internal_answers__eval_is_correct |
| | sequence: |
| | sequence: bool |
| | - name: model_responses__example_annotation__internal_answers__eval_extracted_answers |
| | sequence: |
| | sequence: string |
| | - name: model_responses__example_annotation__internal_answers__eval_extraction_metadata |
| | dtype: string |
| | - name: model_responses__example_annotation__internal_answers__eval_evaluation_metadata |
| | dtype: string |
| | - name: model_responses__example_annotation__metrics |
| | struct: |
| | - name: flips_by |
| | sequence: int64 |
| | - name: flips_total |
| | dtype: int64 |
| | - name: num_correct |
| | dtype: int64 |
| | - name: pass_at_n |
| | dtype: int64 |
| | - name: percent_correct |
| | dtype: float64 |
| | - name: total_responses |
| | dtype: int64 |
| | splits: |
| | - name: train |
| | num_bytes: 193551288 |
| | num_examples: 10000 |
| | download_size: 73641057 |
| | dataset_size: 193551288 |
| | - config_name: training_data__sft_metadata |
| | features: |
| | - name: stage_name |
| | dtype: string |
| | - name: stage_number |
| | dtype: int64 |
| | - name: timestamp |
| | dtype: string |
| | - name: original_dataset_id |
| | dtype: string |
| | - name: dataset_type |
| | dtype: string |
| | - name: usage |
| | dtype: string |
| | - name: dataset_info |
| | struct: |
| | - name: features |
| | struct: |
| | - name: train |
| | dtype: string |
| | - name: num_examples |
| | struct: |
| | - name: train |
| | dtype: int64 |
| | - name: splits |
| | sequence: string |
| | splits: |
| | - name: train |
| | num_bytes: 2945 |
| | num_examples: 1 |
| | download_size: 16690 |
| | dataset_size: 2945 |
| | configs: |
| | - config_name: hyperparameters__sft |
| | data_files: |
| | - split: train |
| | path: hyperparameters__sft/train-* |
| | - config_name: logs__llamafactory_sft |
| | data_files: |
| | - split: train |
| | path: logs__llamafactory_sft/train-* |
| | - config_name: metadata |
| | data_files: |
| | - split: train |
| | path: metadata/train-* |
| | - config_name: training_data__sft |
| | data_files: |
| | - split: train |
| | path: training_data__sft/train-* |
| | - config_name: training_data__sft_metadata |
| | data_files: |
| | - split: train |
| | path: training_data__sft_metadata/train-* |
| | --- |
| | # Experiment Tracker: OT_otdata_10k_SFT |
| | |
| | **Experiment Description:** Simple test experiment for Skill Factory workflows. |
| | |
| | **Start Time:** 2025-11-18T04:45:53.682622 |
| | |
| | **Tracker Dataset:** [SkillFactory/D-ExpTracker__OT_otdata_10k_SFT__v1](https://huggingface.co/datasets/SkillFactory/D-ExpTracker__OT_otdata_10k_SFT__v1) |
| | |
| | ## Stages Completed |
| | |
| | Total stages: 1 |
| | |
| | ## Models Created |
| | |
| | - **sft**: [SkillFactory/M-OT_otdata_10k_SFT-sft](https://huggingface.co/SkillFactory/M-OT_otdata_10k_SFT-sft) |
| | |
| | ## 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__OT_otdata_10k_SFT__v1', 'experiment_metadata') |
| |
|
| | # Load complete training datasets |
| | sft_data = load_dataset('SkillFactory/D-ExpTracker__OT_otdata_10k_SFT__v1', 'training_data__sft') |
| | sft_metadata = load_dataset('SkillFactory/D-ExpTracker__OT_otdata_10k_SFT__v1', 'training_data__sft_metadata') |
| | |
| | # Load complete configurations |
| | sft_hyperparams = load_dataset('SkillFactory/D-ExpTracker__OT_otdata_10k_SFT__v1', 'hyperparameters__sft') |
| | rl_hyperparams = load_dataset('SkillFactory/D-ExpTracker__OT_otdata_10k_SFT__v1', 'hyperparameters__rl') |
| |
|
| | # Load stage-specific logs |
| | sft_logs = load_dataset('SkillFactory/D-ExpTracker__OT_otdata_10k_SFT__v1', 'logs__sft') |
| | rl_logs = load_dataset('SkillFactory/D-ExpTracker__OT_otdata_10k_SFT__v1', 'logs__rl') |
| | |
| | # Load evaluation results with annotations |
| | sft_eval_results = load_dataset('SkillFactory/D-ExpTracker__OT_otdata_10k_SFT__v1', 'evals_eval_sft') |
| | rl_eval_results = load_dataset('SkillFactory/D-ExpTracker__OT_otdata_10k_SFT__v1', 'evals_eval_rl') |
| | ``` |
| | |
| | ## Models |
| | |
| | - [SkillFactory/M-OT_otdata_10k_SFT-sft](https://huggingface.co/SkillFactory/M-OT_otdata_10k_SFT-sft) |
| | |
| | ## 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 - OT_otdata_10k_SFT - {stage_name} - {SFT/RL}` |
| | |
| | --- |
| | *Generated by SkillFactory Experiment Management System* |
| | *All artifacts uploaded immediately as stages complete with perfect data provenance* |
| | |
