mirror of
https://github.com/open-thought/reasoning-gym.git
synced 2026-04-27 17:23:19 +00:00
68 lines
1.3 KiB
YAML
68 lines
1.3 KiB
YAML
# check ./tina/utils/constant.py
|
|
model_post_train_dataset_name: curated_deepscaler
|
|
model_post_train_type: grpo
|
|
rl_post_train_reward_funcs:
|
|
- format
|
|
- accuracy
|
|
rl_post_train_reward_weights:
|
|
- 1.0
|
|
- 2.0
|
|
|
|
|
|
# Model configs from trl
|
|
model_name_or_path: DeepSeek-R1-Distill-Qwen-1.5B
|
|
attn_implementation: flash_attention_2
|
|
use_peft: true
|
|
lora_r: 32
|
|
lora_alpha: 128
|
|
lora_dropout: 0.05
|
|
lora_target_modules:
|
|
- q_proj
|
|
- k_proj
|
|
- v_proj
|
|
- o_proj
|
|
- down_proj
|
|
- up_proj
|
|
- gate_proj
|
|
|
|
|
|
# GRPO trainer configs from trl
|
|
bf16: true
|
|
use_vllm: true
|
|
vllm_device: cuda:0
|
|
vllm_gpu_memory_utilization: 0.4
|
|
vllm_max_model_len: 4608
|
|
gradient_accumulation_steps: 4
|
|
gradient_checkpointing: true
|
|
gradient_checkpointing_kwargs:
|
|
use_reentrant: false
|
|
log_level: info
|
|
logging_first_step: true
|
|
logging_steps: 1
|
|
logging_strategy: steps
|
|
push_to_hub: false
|
|
hub_strategy: every_save
|
|
hub_private_repo: true
|
|
hub_model_id: TODO
|
|
|
|
learning_rate: 1e-06
|
|
lr_scheduler_type: cosine_with_min_lr
|
|
lr_scheduler_kwargs:
|
|
min_lr_rate: 0.1
|
|
max_prompt_length: 512
|
|
max_completion_length: 3584
|
|
max_steps: 11000 # use 11000 for lr scheduler but stop at 5500 steps
|
|
num_generations: 4
|
|
num_train_epochs: 1
|
|
overwrite_output_dir: true
|
|
per_device_train_batch_size: 4
|
|
report_to:
|
|
- wandb
|
|
|
|
save_strategy: steps
|
|
save_steps: 100
|
|
save_total_limit: 100
|
|
|
|
seed: 42
|
|
temperature: 0.7
|
|
warmup_ratio: 0.1
|