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6e3f5f4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | defaults:
- base # this is a symbolic link to the verl/verl/trainer/config/ppo_trainer.yaml file
hydra:
searchpath:
- pkg://verl.trainer.config
model_config:
model_name: gpt-4o # should be registered in model_info
max_concurrency: 16
model_info:
Qwen2.5-7B-Instruct:
provider_name: together
model_name: Qwen/Qwen2.5-7B-Instruct-Turbo
generation_kwargs:
temperature: 0
max_tokens: 512
Qwen2.5-72B-Instruct:
provider_name: together
model_name: Qwen/Qwen2.5-72B-Instruct-Turbo
generation_kwargs:
temperature: 0
max_tokens: 512
claude-3.7:
provider_name: anthropic
model_name: claude-3-7-sonnet-20250219
generation_kwargs:
temperature: 0
max_tokens: 512 # max_completion_tokens if o1-mini
gpt-4o:
provider_name: openai
model_name: gpt-4o
generation_kwargs:
temperature: 0
max_tokens: 512 # max_completion_tokens if o1-mini
deepseek-r1:
provider_name: deepseek
model_name: deepseek-reasoner
generation_kwargs:
temperature: 0
max_completion_tokens: 512
deepseek-v3:
provider_name: deepseek
model_name: deepseek-chat
generation_kwargs:
temperature: 0
max_completion_tokens: 512
es_manager:
val:
env_groups: 256
group_size: 1 # should be set to 1 because val temperature is set to 0 and same prompt leads to same output
env_configs:
tags: ["CoordSokoban"]
n_groups: [256] # If not set, all env names divide nums equally. Under the same group, the env config and env seed (prompt) are equal in each generation
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