Compare commits
4 Commits
8cb4e3af97
...
9ad13f7036
| Author | SHA1 | Date |
|---|---|---|
|
|
9ad13f7036 | |
|
|
3f1a7cc25b | |
|
|
4a68da72d5 | |
|
|
182bff1bd8 |
|
|
@ -20,8 +20,8 @@ class LoRA(nn.Module):
|
||||||
|
|
||||||
def apply_lora(model, rank=16):
|
def apply_lora(model, rank=16):
|
||||||
for name, module in model.named_modules():
|
for name, module in model.named_modules():
|
||||||
if isinstance(module, nn.Linear) and module.weight.shape[0] == module.weight.shape[1]:
|
if isinstance(module, nn.Linear) and module.in_features == module.out_features:
|
||||||
lora = LoRA(module.weight.shape[0], module.weight.shape[1], rank=rank).to(model.device)
|
lora = LoRA(module.in_features, module.out_features, rank=rank).to(model.device)
|
||||||
setattr(module, "lora", lora)
|
setattr(module, "lora", lora)
|
||||||
original_forward = module.forward
|
original_forward = module.forward
|
||||||
|
|
||||||
|
|
|
||||||
|
|
@ -21,6 +21,8 @@ while True:
|
||||||
extra_body={"chat_template_kwargs": {"open_thinking": True}, "reasoning_effort": "medium"} # 思考开关
|
extra_body={"chat_template_kwargs": {"open_thinking": True}, "reasoning_effort": "medium"} # 思考开关
|
||||||
)
|
)
|
||||||
if not stream:
|
if not stream:
|
||||||
|
if not response.choices or response.choices[0].message is None:
|
||||||
|
raise ValueError("LLM returned empty or filtered response")
|
||||||
assistant_res = response.choices[0].message.content
|
assistant_res = response.choices[0].message.content
|
||||||
print('[A]: ', assistant_res)
|
print('[A]: ', assistant_res)
|
||||||
else:
|
else:
|
||||||
|
|
|
||||||
|
|
@ -487,4 +487,6 @@ if __name__ == "__main__":
|
||||||
else:
|
else:
|
||||||
rl_train_epoch(epoch, loader, len(loader), rollout_engine, ref_model, reward_model, 0, wandb, use_sglang = (args.rollout_engine == "sglang"))
|
rl_train_epoch(epoch, loader, len(loader), rollout_engine, ref_model, reward_model, 0, wandb, use_sglang = (args.rollout_engine == "sglang"))
|
||||||
|
|
||||||
if dist.is_initialized(): dist.destroy_process_group()
|
if dist.is_initialized():
|
||||||
|
dist.barrier()
|
||||||
|
dist.destroy_process_group()
|
||||||
|
|
|
||||||
|
|
@ -243,4 +243,6 @@ if __name__ == "__main__":
|
||||||
train_epoch(epoch, loader, len(loader), teacher_model, lm_config_student, 0, wandb, args.alpha, args.temperature)
|
train_epoch(epoch, loader, len(loader), teacher_model, lm_config_student, 0, wandb, args.alpha, args.temperature)
|
||||||
|
|
||||||
# ========== 9. 清理分布进程 ==========
|
# ========== 9. 清理分布进程 ==========
|
||||||
if dist.is_initialized(): dist.destroy_process_group()
|
if dist.is_initialized():
|
||||||
|
dist.barrier()
|
||||||
|
dist.destroy_process_group()
|
||||||
|
|
@ -223,4 +223,6 @@ if __name__ == "__main__":
|
||||||
train_epoch(epoch, loader, len(loader), ref_model, lm_config, 0, wandb, args.beta)
|
train_epoch(epoch, loader, len(loader), ref_model, lm_config, 0, wandb, args.beta)
|
||||||
|
|
||||||
# ========== 9. 清理分布进程 ==========
|
# ========== 9. 清理分布进程 ==========
|
||||||
if dist.is_initialized(): dist.destroy_process_group()
|
if dist.is_initialized():
|
||||||
|
dist.barrier()
|
||||||
|
dist.destroy_process_group()
|
||||||
|
|
@ -168,4 +168,6 @@ if __name__ == "__main__":
|
||||||
train_epoch(epoch, loader, len(loader), 0, wandb)
|
train_epoch(epoch, loader, len(loader), 0, wandb)
|
||||||
|
|
||||||
# ========== 9. 清理分布进程 ==========
|
# ========== 9. 清理分布进程 ==========
|
||||||
if dist.is_initialized(): dist.destroy_process_group()
|
if dist.is_initialized():
|
||||||
|
dist.barrier()
|
||||||
|
dist.destroy_process_group()
|
||||||
|
|
@ -329,4 +329,6 @@ if __name__ == "__main__":
|
||||||
grpo_train_epoch(epoch, loader, len(loader), rollout_engine, ref_model, reward_model, 0, wandb, use_sglang = (args.rollout_engine == "sglang"))
|
grpo_train_epoch(epoch, loader, len(loader), rollout_engine, ref_model, reward_model, 0, wandb, use_sglang = (args.rollout_engine == "sglang"))
|
||||||
|
|
||||||
# ========== 9. 清理分布进程 ==========
|
# ========== 9. 清理分布进程 ==========
|
||||||
if dist.is_initialized(): dist.destroy_process_group()
|
if dist.is_initialized():
|
||||||
|
dist.barrier()
|
||||||
|
dist.destroy_process_group()
|
||||||
|
|
@ -181,4 +181,6 @@ if __name__ == "__main__":
|
||||||
train_epoch(epoch, loader, len(loader), lora_params, 0, wandb)
|
train_epoch(epoch, loader, len(loader), lora_params, 0, wandb)
|
||||||
|
|
||||||
# ========== 10. 清理分布进程 ==========
|
# ========== 10. 清理分布进程 ==========
|
||||||
if dist.is_initialized(): dist.destroy_process_group()
|
if dist.is_initialized():
|
||||||
|
dist.barrier()
|
||||||
|
dist.destroy_process_group()
|
||||||
|
|
@ -432,4 +432,6 @@ if __name__ == "__main__":
|
||||||
ppo_train_epoch(epoch, loader, len(loader), rollout_engine, ref_model, actor_scheduler, critic_scheduler, reward_model, 0, wandb, use_sglang = (args.rollout_engine == "sglang"))
|
ppo_train_epoch(epoch, loader, len(loader), rollout_engine, ref_model, actor_scheduler, critic_scheduler, reward_model, 0, wandb, use_sglang = (args.rollout_engine == "sglang"))
|
||||||
|
|
||||||
# ========== 9. 清理分布进程 ==========
|
# ========== 9. 清理分布进程 ==========
|
||||||
if dist.is_initialized(): dist.destroy_process_group()
|
if dist.is_initialized():
|
||||||
|
dist.barrier()
|
||||||
|
dist.destroy_process_group()
|
||||||
|
|
@ -167,4 +167,6 @@ if __name__ == "__main__":
|
||||||
train_epoch(epoch, loader, len(loader), 0, wandb)
|
train_epoch(epoch, loader, len(loader), 0, wandb)
|
||||||
|
|
||||||
# ========== 9. 清理分布进程 ==========
|
# ========== 9. 清理分布进程 ==========
|
||||||
if dist.is_initialized(): dist.destroy_process_group()
|
if dist.is_initialized():
|
||||||
|
dist.barrier()
|
||||||
|
dist.destroy_process_group()
|
||||||
Loading…
Reference in New Issue