stage_name stringclasses 1
value | stage_number int64 1 1 | stage_type stringclasses 1
value | model_repo_id stringclasses 1
value | base_model stringclasses 1
value | timestamp stringdate 2025-09-24 19:16:01 2025-09-24 20:36:38 | verl_parameter_config dict |
|---|---|---|---|---|---|---|
rl | 1 | verl_rl_training | TAUR-dev/M-0921__zayne1_alltask1_grpo-rl | TAUR-dev/M-multitask_sftdata_cd34_lm3_ac4_lc4-sft | 2025-09-24T19:16:01.563229 | {
"actor_rollout_ref.actor.fsdp_config.forward_prefetch": true,
"actor_rollout_ref.actor.optim.lr": 0.000001,
"actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu": 8,
"actor_rollout_ref.actor.ppo_mini_batch_size": 32,
"actor_rollout_ref.actor.strategy": "fsdp2",
"actor_rollout_ref.model.enable_activation_... |
rl | 1 | verl_rl_training | TAUR-dev/M-0921__zayne1_alltask1_grpo-rl | TAUR-dev/M-multitask_sftdata_cd34_lm3_ac4_lc4-sft | 2025-09-24T19:56:26.169953 | {
"actor_rollout_ref.actor.fsdp_config.forward_prefetch": true,
"actor_rollout_ref.actor.optim.lr": 0.000001,
"actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu": 8,
"actor_rollout_ref.actor.ppo_mini_batch_size": 32,
"actor_rollout_ref.actor.strategy": "fsdp2",
"actor_rollout_ref.model.enable_activation_... |
rl | 1 | verl_rl_training | TAUR-dev/M-0921__zayne1_alltask1_grpo-rl | TAUR-dev/M-multitask_sftdata_cd34_lm3_ac4_lc4-sft | 2025-09-24T20:36:39.370583 | {
"actor_rollout_ref.actor.fsdp_config.forward_prefetch": true,
"actor_rollout_ref.actor.optim.lr": 0.000001,
"actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu": 8,
"actor_rollout_ref.actor.ppo_mini_batch_size": 32,
"actor_rollout_ref.actor.strategy": "fsdp2",
"actor_rollout_ref.model.enable_activation_... |
Experiment Tracker: 0921__zayne1_alltask1_grpo
Experiment Description: Experiment: 0921__zayne1_alltask1_grpo
Start Time: 2025-09-24T20:21:55.259690
Tracker Dataset: TAUR-dev/D-ExpTracker__0921__zayne1_alltask1_grpo__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__0921__zayne1_alltask1_grpo__v1', 'experiment_metadata')
# Load complete training datasets
sft_data = load_dataset('TAUR-dev/D-ExpTracker__0921__zayne1_alltask1_grpo__v1', 'training_data__sft')
sft_metadata = load_dataset('TAUR-dev/D-ExpTracker__0921__zayne1_alltask1_grpo__v1', 'training_data__sft_metadata')
# Load complete configurations
sft_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__0921__zayne1_alltask1_grpo__v1', 'hyperparameters__sft')
rl_hyperparams = load_dataset('TAUR-dev/D-ExpTracker__0921__zayne1_alltask1_grpo__v1', 'hyperparameters__rl')
# Load stage-specific logs
sft_logs = load_dataset('TAUR-dev/D-ExpTracker__0921__zayne1_alltask1_grpo__v1', 'logs__sft')
rl_logs = load_dataset('TAUR-dev/D-ExpTracker__0921__zayne1_alltask1_grpo__v1', 'logs__rl')
# Load evaluation results with annotations
sft_eval_results = load_dataset('TAUR-dev/D-ExpTracker__0921__zayne1_alltask1_grpo__v1', 'evals_eval_sft')
rl_eval_results = load_dataset('TAUR-dev/D-ExpTracker__0921__zayne1_alltask1_grpo__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 - 0921__zayne1_alltask1_grpo - {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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