apiche

Apiche's group workspace

Group: debug_dataset_buffer_size

1-4

of 4

Tags

Notes

Author

apiche

State

Crashed

Start time

July 19th, 2025 9:19:45 PM

Runtime

Tracked hours

Run path

apiche/pipeline-rl/debug_dataset_buffer_size_preprocessor

Linux-5.15.0-1067-nvidia-x86_64-with-glibc2.39

Python version

CPython 3.11.11

Git repository

git clone git@github.com:ServiceNow/pipelinerl.git

Git state

git checkout -b "debug_dataset_buffer_size/preprocessor" 0d1db7f606744d8a4387cab3dbcdaeeceab613ac

Command

-m pipelinerl.entrypoints.run_preprocess --config-dir results/debug_dataset_buffer_size/conf --config-name exp_config output_dir=results/debug_dataset_buffer_size hydra.run.dir=results/debug_dataset_buffer_size/preprocess +me.llm_urls=

System Hardware

CPU count	112
Logical CPU count	224
GPU count	4
GPU type	NVIDIA H100 80GB HBM3

W&B CLI Version

0.19.11

Group

debug_dataset_buffer_size

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 157 keys
- accelerate_config:
  null
- actor.discount_factor:
  1
- actor.llm_max_rollouts:
  64
- actor.log_each_n_secs:
  0
- actor.problem_queue_size:
  64
- actor.result_queue_size:
  64
- actor.rollout_workers:
  1
- actor.shared_memory_entry_size:
  10,000,000
- actor.throughput_window_size:
  50
- attempts:
  1
- debug.mode:
  ""
- debug.place_inference_workers:
  true
- debug.streams_from:
  null
- debug.use_existing_llms:
  false
- deepspeed_config:
  "deepspeed_stage3_bf16"
- environment:
  null
- eval_every_n_versions:
  78,000
- finetune.also_save_steps:[] 0 items
- finetune.attn_implementation:
  "flash_attention_2"
- finetune.auto_device_map:
  false
- finetune.config_name:
  "/mnt/llmd/base_models/Qwen2.5-7B"
- finetune.cuda_empty_cache:
  true
- finetune.data:
  null
- finetune.eval_callback._target_:
  "tapeagents.finetune.eval.dummy_eval_callback"
- finetune.eval_callback.config_name:
  ""
- finetune.force_restart:
  false
- finetune.gradient_accumulation_passes:
  256
- finetune.gradient_checkpointing:
  true
- finetune.gradient_clipping_threshold:
  0.3
- finetune.input:
  "training_data"
- finetune.interrupt_train_steps:
  -1
- finetune.keep_intermediate_checkpoints:
  true
- finetune.learning_rate:
  0
- finetune.load_as_bf16:
  true
- finetune.log_each_n_steps:
  1
- finetune.lora.alpha:
  16
- finetune.lora.base_model_4bit:
  false
- finetune.lora.base_model_8bit:
  false
- finetune.lora.bias:
  "none"
- finetune.lora.dropout:
  0.05
- finetune.lora.enabled:
  false
- finetune.lora.r:
  16
- finetune.lora.target_modules:[] 0 items
- finetune.lora.task_type:
  "CAUSAL_LM"
- finetune.lr_scheduler_type:
  "cosine"
- finetune.max_eval_steps:
  -1
- world.environment_start_port:
  7,777
- world.finetune_fraction:
  4
- world.preprocessor_fraction:
  0
- world.replicas:
  1

Summary metrics are your model's outputs. Learn more

No summary metrics saved for this run.

Check the summary metrics documentation for more information.