| | --- |
| | dataset_info: |
| | - config_name: hyperparameters__rl |
| | features: |
| | - name: stage_name |
| | dtype: string |
| | - name: stage_number |
| | dtype: int64 |
| | - name: stage_type |
| | dtype: string |
| | - name: model_repo_id |
| | dtype: string |
| | - name: base_model |
| | dtype: string |
| | - name: timestamp |
| | dtype: string |
| | - name: verl_parameter_config |
| | struct: |
| | - name: actor_rollout_ref.actor.fsdp_config.forward_prefetch |
| | dtype: bool |
| | - name: actor_rollout_ref.actor.optim.lr |
| | dtype: float64 |
| | - name: actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu |
| | dtype: int64 |
| | - name: actor_rollout_ref.actor.ppo_mini_batch_size |
| | dtype: int64 |
| | - name: actor_rollout_ref.actor.strategy |
| | dtype: string |
| | - name: actor_rollout_ref.model.enable_activation_offload |
| | dtype: bool |
| | - name: actor_rollout_ref.model.enable_gradient_checkpointing |
| | dtype: bool |
| | - name: actor_rollout_ref.model.path |
| | dtype: string |
| | - name: actor_rollout_ref.model.trust_remote_code |
| | dtype: bool |
| | - name: actor_rollout_ref.model.use_remove_padding |
| | dtype: bool |
| | - name: actor_rollout_ref.ref.fsdp_config.forward_prefetch |
| | dtype: bool |
| | - name: actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu |
| | dtype: int64 |
| | - name: actor_rollout_ref.rollout.dtype |
| | dtype: string |
| | - name: actor_rollout_ref.rollout.gpu_memory_utilization |
| | dtype: float64 |
| | - name: actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu |
| | dtype: int64 |
| | - name: actor_rollout_ref.rollout.max_num_batched_tokens |
| | dtype: int64 |
| | - name: actor_rollout_ref.rollout.max_num_seqs |
| | dtype: int64 |
| | - name: actor_rollout_ref.rollout.n |
| | dtype: int64 |
| | - name: actor_rollout_ref.rollout.tensor_model_parallel_size |
| | dtype: int64 |
| | - name: algorithm.adv_estimator |
| | dtype: string |
| | - name: algorithm.kl_ctrl.kl_coef |
| | dtype: float64 |
| | - name: critic.model.path |
| | dtype: string |
| | - name: critic.model.trust_remote_code |
| | dtype: bool |
| | - name: critic.optim.lr |
| | dtype: float64 |
| | - name: critic.ppo_micro_batch_size_per_gpu |
| | dtype: int64 |
| | - name: custom_reward_function.name |
| | dtype: string |
| | - name: custom_reward_function.path |
| | dtype: string |
| | - name: custom_reward_function.reward_kwargs.complex_format_reward_weight |
| | dtype: float64 |
| | - name: custom_reward_function.reward_kwargs.final_answer_in_samples_reward_weight |
| | dtype: float64 |
| | - name: custom_reward_function.reward_kwargs.reflection_correctness_reward_weight |
| | dtype: float64 |
| | - name: custom_reward_function.reward_kwargs.response_or_sample |
| | dtype: string |
| | - name: custom_reward_function.reward_kwargs.reward_max |
| | dtype: float64 |
| | - name: custom_reward_function.reward_kwargs.reward_min |
| | dtype: float64 |
| | - name: custom_reward_function.reward_kwargs.sample_correctness_reward_weight |
| | dtype: float64 |
| | - name: custom_reward_function.reward_kwargs.sample_count_penalty_weight |
| | dtype: float64 |
| | - name: custom_reward_function.reward_kwargs.similarity_penalty_weight |
| | dtype: float64 |
| | - name: custom_reward_function.reward_kwargs.simple_format_reward_weight |
| | dtype: float64 |
| | - name: custom_reward_function.reward_kwargs.transition_penalty_weight |
| | dtype: float64 |
| | - name: custom_reward_function.reward_kwargs.verdict_correctness_reward_weight |
| | dtype: float64 |
| | - name: data.max_prompt_length |
| | dtype: int64 |
| | - name: data.max_response_length |
| | dtype: int64 |
| | - name: data.train_batch_size |
| | dtype: int64 |
| | - name: data.train_files |
| | dtype: string |
| | - name: data.val_files |
| | dtype: string |
| | - name: hydra.job.chdir |
| | dtype: bool |
| | - name: hydra.output_subdir |
| | dtype: string |
| | - name: hydra.run.dir |
| | dtype: string |
| | - name: reward_model.launch_reward_fn_async |
| | dtype: bool |
| | - name: reward_model.model.fsdp_config.forward_prefetch |
| | dtype: bool |
| | - name: reward_model.reward_manager |
| | dtype: string |
| | - name: trainer.default_local_dir |
| | dtype: string |
| | - name: trainer.experiment_name |
| | dtype: string |
| | - name: trainer.logger |
| | dtype: string |
| | - name: trainer.n_gpus_per_node |
| | dtype: int64 |
| | - name: trainer.nnodes |
| | dtype: int64 |
| | - name: trainer.project_name |
| | dtype: string |
| | - name: trainer.resume_mode |
| | dtype: string |
| | - name: trainer.save_freq |
| | dtype: int64 |
| | - name: trainer.test_freq |
| | dtype: int64 |
| | - name: trainer.total_epochs |
| | dtype: int64 |
| | - name: trainer.val_before_train |
| | dtype: bool |
| | splits: |
| | - name: train |
| | num_bytes: 1323 |
| | num_examples: 1 |
| | download_size: 41358 |
| | dataset_size: 1323 |
| | - config_name: logs__verl_rl |
| | 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: 5612809 |
| | num_examples: 2 |
| | download_size: 907645 |
| | dataset_size: 5612809 |
| | - 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: 2544 |
| | num_examples: 7 |
| | download_size: 4542 |
| | dataset_size: 2544 |
| | - config_name: training_data__rl_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: rl_training_splits |
| | list: string |
| | - name: rl_validation_splits |
| | list: string |
| | - name: rl_configs |
| | list: string |
| | - name: usage |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 201 |
| | num_examples: 1 |
| | download_size: 4986 |
| | dataset_size: 201 |
| | configs: |
| | - config_name: hyperparameters__rl |
| | data_files: |
| | - split: train |
| | path: hyperparameters__rl/train-* |
| | - config_name: logs__verl_rl |
| | data_files: |
| | - split: train |
| | path: logs__verl_rl/train-* |
| | - config_name: metadata |
| | data_files: |
| | - split: train |
| | path: metadata/train-* |
| | - config_name: training_data__rl_metadata |
| | data_files: |
| | - split: train |
| | path: training_data__rl_metadata/train-* |
| | --- |
| | # Experiment Tracker: 1023_longmult__0epoch_longmult3dig |
| | |
| | **Experiment Description:** Experiment: 1023_longmult__0epoch_longmult3dig |
| |
|
| | **Start Time:** 2025-10-24T14:32:01.782278 |
| |
|
| | **Tracker Dataset:** [TAUR-dev/D-ExpTracker__1023_longmult__0epoch_longmult3dig__v1](https://huggingface.co/datasets/TAUR-dev/D-ExpTracker__1023_longmult__0epoch_longmult3dig__v1) |
| |
|
| | ## Stages Completed |
| |
|
| | Total stages: 1 |
| |
|
| | ## Models Created |
| |
|
| | - **rl**: [TAUR-dev/M-1023_longmult__0epoch_longmult3dig-rl](https://huggingface.co/TAUR-dev/M-1023_longmult__0epoch_longmult3dig-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('TAUR-dev/D-ExpTracker__1023_longmult__0epoch_longmult3dig__v1', 'experiment_metadata') |
| | |
| | # Load complete training datasets |
| | sft_data = load_dataset('TAUR-dev/D-ExpTracker__1023_longmult__0epoch_longmult3dig__v1', 'training_data__sft') |
| | sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__1023_longmult__0epoch_longmult3dig__v1', 'training_data__sft_metadata') |
| | |
| | # Load complete configurations |
| | sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__1023_longmult__0epoch_longmult3dig__v1', 'hyperparameters__sft') |
| | rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__1023_longmult__0epoch_longmult3dig__v1', 'hyperparameters__rl') |
| | |
| | # Load stage-specific logs |
| | sft_logs = load_dataset('TAUR-dev/D-ExpTracker__1023_longmult__0epoch_longmult3dig__v1', 'logs__sft') |
| | rl_logs = load_dataset('TAUR-dev/D-ExpTracker__1023_longmult__0epoch_longmult3dig__v1', 'logs__rl') |
| | |
| | # Load evaluation results with annotations |
| | sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__1023_longmult__0epoch_longmult3dig__v1', 'evals_eval_sft') |
| | rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__1023_longmult__0epoch_longmult3dig__v1', 'evals_eval_rl') |
| | ``` |
| | |
| | ## Models |
| | |
| | - [TAUR-dev/M-1023_longmult__0epoch_longmult3dig-rl](https://huggingface.co/TAUR-dev/M-1023_longmult__0epoch_longmult3dig-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 - 1023_longmult__0epoch_longmult3dig - {stage_name} - {SFT/RL}` |
| | |
| | --- |
| | *Generated by SkillFactory Experiment Management System* |
| | *All artifacts uploaded immediately as stages complete with perfect data provenance* |
| | |
