Append 1 new entries to hyperparameters__rl (total: 1)

README.md

@@ -1,5 +1,149 @@
 ---
 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: 1382
+    num_examples: 1
+  download_size: 41655
+  dataset_size: 1382
 - config_name: logs__verl_rl
   features:
   - name: timestamp
@@ -79,6 +223,10 @@ dataset_info:
   download_size: 4991
   dataset_size: 202
 configs:
+- config_name: hyperparameters__rl
+  data_files:
+  - split: train
+    path: hyperparameters__rl/train-*
 - config_name: logs__verl_rl
   data_files:
   - split: train

hyperparameters__rl/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fcbffec8f6b73c547483d56a8df28abba41885984f5e779c2f14dad7d1e5cdd4
+size 41655