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 +1,46 @@
+import os
+
+os.environ['CUDA_VISIBLE_DEVICES'] = '0'
+os.environ['ASCEND_RT_VISIBLE_DEVICES'] = '0'
+kwargs = {
+    'per_device_train_batch_size': 2,
+    'per_device_eval_batch_size': 2,
+    'save_steps': 50,
+    'gradient_accumulation_steps': 4,
+    'num_train_epochs': 1,
+}
+
+
+def test_reg_llm():
+    from swift import InferArguments, SftArguments, infer_main, sft_main
+    result = sft_main(
+        SftArguments(
+            model='Qwen/Qwen2.5-1.5B-Instruct',
+            tuner_type='lora',
+            num_labels=1,
+            dataset=['sentence-transformers/stsb:reg#200'],
+            split_dataset_ratio=0.01,
+            **kwargs))
+    last_model_checkpoint = result['last_model_checkpoint']
+    infer_main(InferArguments(adapters=last_model_checkpoint, load_data_args=True, metric='acc'))
+
+
+def test_reg_mllm():
+    from swift import InferArguments, SftArguments, infer_main, sft_main
+
+    # OpenGVLab/InternVL2-1B
+    result = sft_main(
+        SftArguments(
+            model='Qwen/Qwen2-VL-2B-Instruct',
+            tuner_type='lora',
+            num_labels=1,
+            dataset=['sentence-transformers/stsb:reg#200'],
+            split_dataset_ratio=0.01,
+            **kwargs))
+    last_model_checkpoint = result['last_model_checkpoint']
+    infer_main(InferArguments(adapters=last_model_checkpoint, load_data_args=True, metric='acc'))
+
+
+if __name__ == '__main__':
+    # test_reg_llm()
+    test_reg_mllm()