From 4f1b128abf591469fa809ed1ba2295bbcc9ff631 Mon Sep 17 00:00:00 2001
From: zjjlivein <1834792141@qq.com>
Date: Tue, 14 Apr 2026 14:52:21 +0800
Subject: [PATCH] disable qwen2

---
 scripts/regression/config.yaml    | 51 -------------------------------
 scripts/regression/test_models.py |  2 +-
 2 files changed, 1 insertion(+), 52 deletions(-)

diff --git a/scripts/regression/config.yaml b/scripts/regression/config.yaml
index 0749d8abbaf..e4202995cef 100644
--- a/scripts/regression/config.yaml
+++ b/scripts/regression/config.yaml
@@ -193,57 +193,6 @@ glm_moe:
         - [10564, 10564, 102954, 47231, 47231, 47231, 47231, 47231, 47231, 47231]
         dpo_full_function_call_excepted_result:
         - [10564, 10564, 102954, 47231, 47231, 47231, 47231, 47231, 47231, 47231]
-qwen2:
-    repo_id: PaddleFormers/tiny-random-qwen2v2
-    model_type: text
-    cli_args:
-        save_checkpoint_format: flex_checkpoint
-        load_checkpoint_format: flex_checkpoint
-        template: qwen
-    base_loss:
-        sft_full_loss: 12.751743795
-        sft_full_resume_loss: 12.75366116
-        dpo_full_loss: 0.69314718
-        dpo_full_resume_loss: 0.69314718
-        pt_full_loss: 12.9430995
-        pt_full_resume_loss: 12.94307518
-        sft_lora_loss: 12.751743795
-        sft_lora_resume_loss: 12.75366116
-        dpo_lora_loss: 0.69314718
-        dpo_lora_resume_loss: 0.69314718
-        pt_lora_loss: 12.9430995
-        pt_lora_resume_loss: 12.94307518
-        sft_full_tp_pp_loss: 12.835041045
-        sft_full_tp_pp_resume_loss: 12.83503151
-        dpo_full_tp_pp_loss: 0.69314718
-        dpo_full_tp_pp_resume_loss: 0.69314718
-        pt_full_tp_pp_loss: 12.943032265
-        pt_full_tp_pp_resume_loss: 12.94280052
-        sft_lora_tp_pp_loss: 12.83521986
-        sft_lora_tp_pp_resume_loss: 12.83525467
-        dpo_lora_tp_pp_loss: 0.69314718
-        dpo_lora_tp_pp_resume_loss: 0.69314718
-        pt_lora_tp_pp_loss: 12.943032265
-        pt_lora_tp_pp_resume_loss: 12.94280052
-        sft_full_function_call_loss: 12.800441265
-        sft_full_function_call_resume_loss: 12.80294609
-        dpo_full_function_call_loss: 0.69314718
-        dpo_full_function_call_resume_loss: 0.69314718
-    base_result:
-        pt_full_excepted_result: []
-        sft_full_excepted_result: []
-        dpo_full_excepted_result: []
-        pt_lora_excepted_result: []
-        sft_lora_excepted_result: []
-        dpo_lora_excepted_result: []
-        pt_full_tp_pp_excepted_result: []
-        sft_full_tp_pp_excepted_result: []
-        dpo_full_tp_pp_excepted_result: []
-        pt_lora_tp_pp_excepted_result: []
-        sft_lora_tp_pp_excepted_result: []
-        dpo_lora_tp_pp_excepted_result: []
-        sft_full_function_call_excepted_result: []
-        dpo_full_function_call_excepted_result: []
 llama:
     repo_id: PaddleFormers/tiny-random-llama3
     model_type: text
diff --git a/scripts/regression/test_models.py b/scripts/regression/test_models.py
index b15274c3f15..8f70d9f1f4f 100644
--- a/scripts/regression/test_models.py
+++ b/scripts/regression/test_models.py
@@ -600,7 +600,7 @@ def execute_training_workflow(
 
         # Test model generation
         generate_log_file = os.path.join(LOG_PATH, f"{model_key}_{train_type}_{test_type}_generate.log")
-        skip_generation = model_key in ["qwen2_moe", "deepseek_v3"]
+        skip_generation = model_key in ["qwen2", "qwen2_moe", "deepseek_v3"]
         if skip_generation:
             result = None
         else: