修复报错

backend/app/services/training_service.py

@@ -48,7 +48,6 @@ async def create_training_job(config: dict[str, Any]) -> dict[str, Any]:
         lora_target_modules=config.get("lora_target_modules", "all-linear"),
         qlora_bits=config.get("qlora_bits", 4),
         # PPO fields
-        task_type=task_type,
         ppo_epochs=config.get("ppo_epochs", 4),
         vf_coef=config.get("vf_coef", 0.1),
         kl_coef=config.get("kl_coef", 0.2),

result.txt

@@ -1,84 +1,37 @@
-(base) [root@localhost ~]# docker exec finetune-trainer tail -200 /tmp/train_33166c59-034d-4afd-92ba-ff6bece676dc.log
-[remote_train] === Training job started: 33166c59-034d-4afd-92ba-ff6bece676dc ===
-[remote_train] model_id=Qwen/Qwen3.5-0.8B, model_type=text
-[remote_train] dataset_path=/root/Fine-tuning/backend/data/datasets/data.jsonl
-[remote_train] config={"model_id": "Qwen/Qwen3.5-0.8B", "model_type": "text", "dataset_id": "3d5f8808-e71a-449d-94e9-c61c4881b2cf", "peft_method": "adalora", "epochs": 3, "batch_size": 16, "gradient_accumulation": 4, "lear
-[remote_train] Dataset file exists: /root/Fine-tuning/backend/data/datasets/data.jsonl
-[remote_train] Step 1: Preprocessing dataset...
-[remote_train]   task_type=sft, template=auto
-[remote_train]   output_path=/root/Fine-tuning/backend/data/processed/33166c59-034d-4afd-92ba-ff6bece676dc_processed.jsonl
-[remote_train]   Selecting engine for model_type=text...
-[remote_train]   Engine loaded: TextEngine
-[remote_train]   PEFT method: adalora
-[remote_train]   Running preprocess_dataset...
-[remote_train]   Preprocessing done, output: /root/Fine-tuning/backend/data/processed/33166c59-034d-4afd-92ba-ff6bece676dc_processed.jsonl
-[remote_train] Step 2: Loading model: Qwen/Qwen3.5-0.8B...
-[remote_train]   Quantization: None
-Current Triton version 3.0.0 is below the recommended 3.2.0 version. Errors may occur and these issues will not be fixed. Please consider upgrading Triton.
-Current Python version 3.10 is below the recommended 3.11 version. It is recommended to upgrade to Python 3.11 or higher for the best experience.
-torch.compile is not available in Python 3.10, using identity decorator instead
-/opt/conda/lib/python3.10/site-packages/torchvision/datapoints/__init__.py:12: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: https://github.com/pytorch/vision/issues/6753, and you can also check out https://github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().
-  warnings.warn(_BETA_TRANSFORMS_WARNING)
-/opt/conda/lib/python3.10/site-packages/torchvision/transforms/v2/__init__.py:54: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: https://github.com/pytorch/vision/issues/6753, and you can also check out https://github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().
-  warnings.warn(_BETA_TRANSFORMS_WARNING)
-Loading weights: 100%|██████████| 320/320 [00:06<00:00, 49.85it/s]
-[remote_train]   Model loaded successfully
-[remote_train] Step 3: Building PEFT config...
-[remote_train]   PEFT config built
-[remote_train] Step 4: Starting training...
-Map: 100%|██████████| 60/60 [00:00<00:00, 2165.49 examples/s]
-[remote_train] ERROR: Please specify `target_modules` or `target_parameters`in `peft_config`
-[remote_train] Traceback (most recent call last):
-  File "/root/Fine-tuning/backend/app/engines/remote_train.py", line 172, in run_training
-    adapter_path = await engine.train(
-  File "/root/Fine-tuning/backend/app/engines/text_engine.py", line 198, in train
-    self._model = get_peft_model(self._model, peft_config)
-  File "/opt/conda/lib/python3.10/site-packages/peft/mapping_func.py", line 122, in get_peft_model
-    return MODEL_TYPE_TO_PEFT_MODEL_MAPPING[peft_config.task_type](
-  File "/opt/conda/lib/python3.10/site-packages/peft/peft_model.py", line 1955, in __init__
-    super().__init__(model, peft_config, adapter_name, **kwargs)
-  File "/opt/conda/lib/python3.10/site-packages/peft/peft_model.py", line 129, in __init__
-    self.base_model = cls(model, {adapter_name: peft_config}, adapter_name)
-  File "/opt/conda/lib/python3.10/site-packages/peft/tuners/adalora/model.py", line 69, in __init__
-    super().__init__(model, config, adapter_name, **kwargs)
-  File "/opt/conda/lib/python3.10/site-packages/peft/tuners/tuners_utils.py", line 315, in __init__
-    self.inject_adapter(self.model, adapter_name, low_cpu_mem_usage=low_cpu_mem_usage, state_dict=state_dict)
-  File "/opt/conda/lib/python3.10/site-packages/peft/tuners/tuners_utils.py", line 815, in inject_adapter
-    peft_config = self._prepare_adapter_config(peft_config, model_config)
-  File "/opt/conda/lib/python3.10/site-packages/peft/tuners/lora/model.py", line 570, in _prepare_adapter_config
-    raise ValueError("Please specify `target_modules` or `target_parameters`in `peft_config`")
-ValueError: Please specify `target_modules` or `target_parameters`in `peft_config`
-
-[remote_train] === Training job failed: 33166c59-034d-4afd-92ba-ff6bece676dc ===
 Traceback (most recent call last):
-  File "/opt/conda/lib/python3.10/runpy.py", line 196, in _run_module_as_main
-    return _run_code(code, main_globals, None,
-  File "/opt/conda/lib/python3.10/runpy.py", line 86, in _run_code
-    exec(code, run_globals)
-  File "/root/Fine-tuning/backend/app/engines/remote_train.py", line 213, in <module>
-    main()
-  File "/root/Fine-tuning/backend/app/engines/remote_train.py", line 209, in main
-    asyncio.run(run_training(job_id, model_id, model_type, dataset_id, config))
-  File "/opt/conda/lib/python3.10/asyncio/runners.py", line 44, in run
-    return loop.run_until_complete(main)
-  File "/opt/conda/lib/python3.10/asyncio/base_events.py", line 649, in run_until_complete
-    return future.result()
-  File "/root/Fine-tuning/backend/app/engines/remote_train.py", line 172, in run_training
-    adapter_path = await engine.train(
-  File "/root/Fine-tuning/backend/app/engines/text_engine.py", line 198, in train
-    self._model = get_peft_model(self._model, peft_config)
-  File "/opt/conda/lib/python3.10/site-packages/peft/mapping_func.py", line 122, in get_peft_model
-    return MODEL_TYPE_TO_PEFT_MODEL_MAPPING[peft_config.task_type](
-  File "/opt/conda/lib/python3.10/site-packages/peft/peft_model.py", line 1955, in __init__
-    super().__init__(model, peft_config, adapter_name, **kwargs)
-  File "/opt/conda/lib/python3.10/site-packages/peft/peft_model.py", line 129, in __init__
-    self.base_model = cls(model, {adapter_name: peft_config}, adapter_name)
-  File "/opt/conda/lib/python3.10/site-packages/peft/tuners/adalora/model.py", line 69, in __init__
-    super().__init__(model, config, adapter_name, **kwargs)
-  File "/opt/conda/lib/python3.10/site-packages/peft/tuners/tuners_utils.py", line 315, in __init__
-    self.inject_adapter(self.model, adapter_name, low_cpu_mem_usage=low_cpu_mem_usage, state_dict=state_dict)
-  File "/opt/conda/lib/python3.10/site-packages/peft/tuners/tuners_utils.py", line 815, in inject_adapter
-    peft_config = self._prepare_adapter_config(peft_config, model_config)
-  File "/opt/conda/lib/python3.10/site-packages/peft/tuners/lora/model.py", line 570, in _prepare_adapter_config
-    raise ValueError("Please specify `target_modules` or `target_parameters`in `peft_config`")
-ValueError: Please specify `target_modules` or `target_parameters`in `peft_config`
+  File "/usr/local/bin/uvicorn", line 10, in <module>
+    sys.exit(main())
+  File "/usr/local/lib/python3.10/site-packages/click/core.py", line 1524, in __call__
+    return self.main(*args, **kwargs)
+  File "/usr/local/lib/python3.10/site-packages/click/core.py", line 1445, in main
+    rv = self.invoke(ctx)
+  File "/usr/local/lib/python3.10/site-packages/click/core.py", line 1308, in invoke
+    return ctx.invoke(self.callback, **ctx.params)
+  File "/usr/local/lib/python3.10/site-packages/click/core.py", line 877, in invoke
+    return callback(*args, **kwargs)
+  File "/usr/local/lib/python3.10/site-packages/uvicorn/main.py", line 441, in main
+    run(
+  File "/usr/local/lib/python3.10/site-packages/uvicorn/main.py", line 609, in run
+    config.load_app()
+  File "/usr/local/lib/python3.10/site-packages/uvicorn/config.py", line 415, in load_app
+    return import_from_string(self.app)
+  File "/usr/local/lib/python3.10/site-packages/uvicorn/importer.py", line 19, in import_from_string
+    module = importlib.import_module(module_str)
+  File "/usr/local/lib/python3.10/importlib/__init__.py", line 126, in import_module
+    return _bootstrap._gcd_import(name[level:], package, level)
+  File "<frozen importlib._bootstrap>", line 1050, in _gcd_import
+  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
+  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
+  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
+  File "<frozen importlib._bootstrap_external>", line 883, in exec_module
+  File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
+  File "/app/main.py", line 128, in <module>
+    app = create_app()
+  File "/app/main.py", line 75, in create_app
+    from app.api import training as training_api
+  File "/app/app/api/training.py", line 4, in <module>
+    from app.services import training_service
+  File "/app/app/services/training_service.py", line 51
+    task_type=task_type,
+    ^^^^^^^^^^^^^^^^^^^
+SyntaxError: keyword argument repeated: task_type