chore: import upstream snapshot with attribution

2026-07-13 13:34:58 +08:00
commit a203934033
1368 changed files with 175001 additions and 0 deletions
@@ -0,0 +1,34 @@
+import os
+
+kwargs = {
+    'per_device_train_batch_size': 5,
+    'save_steps': 5,
+    'gradient_accumulation_steps': 1,
+    'num_train_epochs': 1,
+}
+
+
+def test_train_eval_loop():
+    os.environ['CUDA_VISIBLE_DEVICES'] = '0'
+    os.environ['ASCEND_RT_VISIBLE_DEVICES'] = '0'
+    from swift import SftArguments, sft_main
+    sft_main(
+        SftArguments(
+            model='Qwen/Qwen2.5-0.5B-Instruct',
+            dataset=['AI-ModelScope/alpaca-gpt4-data-zh#100'],
+            target_modules=['all-linear', 'all-embedding'],
+            modules_to_save=['all-embedding', 'all-norm'],
+            eval_strategy='steps',
+            eval_steps=5,
+            per_device_eval_batch_size=5,
+            eval_use_evalscope=True,
+            eval_dataset=['gsm8k'],
+            eval_dataset_args={'gsm8k': {
+                'few_shot_num': 0
+            }},
+            eval_limit=10,
+            **kwargs))
+
+
+if __name__ == '__main__':
+    test_train_eval_loop()