diff --git a/README.md b/README.md
index 5456dcc58359a9138b0fa6b65bcf5c63688095ce..533731674909bb755c83fbc41fc74c662d2c775a 100644
--- a/README.md
+++ b/README.md
@@ -83,7 +83,7 @@ python train_ppo.py  --load_sft_model "./out_sft/rwkv-190.pth" --load_rm_model "
 --ctx_len 1024 --epoch_steps 200 --epoch_count 1000 --epoch_begin 0 --epoch_save 2 \
 --micro_bsz 2 --n_layer 24 --n_embd 2048 --pre_ffn 0 --head_qk 0 \
 --lr_init 1e-5 --lr_final 1e-5 --warmup_steps 0 --beta1 0.9 --beta2 0.999 --adam_eps 1e-8 \
---accelerator gpu --devices 1 --precision bf16 --strategy deepspeed_stage_2_offload --grad_cp 1 \
+--accelerator gpu --devices 1 --precision bf16 --strategy deepspeed_stage_2_offload --grad_cp 0 \
 --my_qa_mask 1
 ```
 
diff --git a/src/model.py b/src/model.py
index ee5169d9f4530b0f6ffd9ca13244616ed8a85384..ca8559b89d32d586620d1d4392ca3fb80c736fcf 100644
--- a/src/model.py
+++ b/src/model.py
@@ -20,7 +20,6 @@ from einops import unpack
 from src.rlhf.utils import exists
 from src.rlhf.utils import gumbel_sample
 from src.rlhf.utils import top_k
-from src.rlhf.utils import identity
 from src.rlhf.utils import eval_decorator
 
 # from deepspeed.runtime.fp16.onebit.zoadam import ZeroOneAdam
@@ -510,8 +509,7 @@ class RWKV(pl.LightningModule):
         filter_thres = 0.9,
         pad_value = 0.,
         eos_token = None,
-        return_seq_without_prompt = True,
-        use_tqdm = False
+        return_seq_without_prompt = True
     ):
         ''' 生成 response，用于 ppo 模型的训练
         '''
@@ -520,10 +518,9 @@ class RWKV(pl.LightningModule):
 
         n, out = prompt.shape[-1], prompt.clone()
 
-        wrapper_fn = identity if not use_tqdm else tqdm
         sample_num_times = max(1, seq_len - prompt.shape[-1])
 
-        for _ in wrapper_fn(range(sample_num_times)):
+        for _ in tqdm(range(sample_num_times), desc="gen responses"):
             logits, embeds = self.forward(out, ppo_train=True)
             logits, embeds = logits[:, -1], embeds[:, -1]
 
diff --git a/src/rlhf/ppo.py b/src/rlhf/ppo.py
index 09e343d801a5ab759d4755c779b8b7eb9f2e46f4..4d26e31512b786f3b077b47afb3d85b67bc693cf 100644
--- a/src/rlhf/ppo.py
+++ b/src/rlhf/ppo.py
@@ -78,9 +78,7 @@ class ActorCritic(nn.Module):
         actions = self.actor.generate(
             max_seq_len,
             prompt = state,       
-            eos_token = eos_token,     
-            use_tqdm = True,
-            **kwargs
+            eos_token = eos_token
         )
 
         # 将 prompt (state) 和 response (action) 进行拼接