Comments (4)
换成peft=0.4.0.dev0报错如下:
╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮
│ /data/mlamp/jitengfei/chatGLM-6B-QLoRA-main/train_qlora.py:204 in │
│ │
│ 201 │
│ 202 if name == "main": │
│ 203 │ args = parse_args() │
│ ❱ 204 │ train(args) │
│ 205 │
│ 206 │
│ │
│ /data/mlamp/jitengfei/chatGLM-6B-QLoRA-main/train_qlora.py:148 in train │
│ │
│ 145 │ │ │ │ │ │ │ │ │ device_map='auto', │
│ 146 │ │ │ │ │ │ │ │ │ trust_remote_code=True) │
│ 147 │ │
│ ❱ 148 │ model = prepare_model_for_kbit_training(model, use_gradient_checkpointing=True) │
│ 149 │ │
│ 150 │ # LoRA │
│ 151 │ target_modules = TRANSFORMERS_MODELS_TO_LORA_TARGET_MODULES_MAPPING['chatglm'] │
│ │
│ /home/mlamp/miniconda3/envs/chatglm/lib/python3.9/site-packages/peft/utils/other.py:86 in │
│ prepare_model_for_kbit_training │
│ │
│ 83 │ if loaded_in_kbit and use_gradient_checkpointing: │
│ 84 │ │ # For backward compatibility │
│ 85 │ │ if hasattr(model, "enable_input_require_grads"): │
│ ❱ 86 │ │ │ model.enable_input_require_grads() │
│ 87 │ │ else: │
│ 88 │ │ │ │
│ 89 │ │ │ def make_inputs_require_grad(module, input, output): │
│ │
│ /home/mlamp/miniconda3/envs/chatglm/lib/python3.9/site-packages/transformers/modeling_utils.py:1 │
│ 206 in enable_input_require_grads │
│ │
│ 1203 │ │ def make_inputs_require_grads(module, input, output): │
│ 1204 │ │ │ output.requires_grad_(True) │
│ 1205 │ │ │
│ ❱ 1206 │ │ self._require_grads_hook = self.get_input_embeddings().register_forward_hook(mak │
│ 1207 │ │
│ 1208 │ def disable_input_require_grads(self): │
│ 1209 │ │ """ │
│ │
│ /home/mlamp/miniconda3/envs/chatglm/lib/python3.9/site-packages/transformers/modeling_utils.py:1 │
│ 223 in get_input_embeddings │
│ │
│ 1220 │ │ """ │
│ 1221 │ │ base_model = getattr(self, self.base_model_prefix, self) │
│ 1222 │ │ if base_model is not self: │
│ ❱ 1223 │ │ │ return base_model.get_input_embeddings() │
│ 1224 │ │ else: │
│ 1225 │ │ │ raise NotImplementedError │
│ 1226 │
│ │
│ /home/mlamp/miniconda3/envs/chatglm/lib/python3.9/site-packages/transformers/modeling_utils.py:1 │
│ 225 in get_input_embeddings │
│ │
│ 1222 │ │ if base_model is not self: │
│ 1223 │ │ │ return base_model.get_input_embeddings() │
│ 1224 │ │ else: │
│ ❱ 1225 │ │ │ raise NotImplementedError │
│ 1226 │ │
│ 1227 │ def set_input_embeddings(self, value: nn.Module): │
│ 1228 │ │ """ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
NotImplementedError
from chatglm-6b-qlora.
@1a2cjitenfei 2代版本的模型一直在更新中,你把你用的2代模型重新拉取一下最新的。
如果你用的git lfs拉取的模型,直接git pull就可以
from chatglm-6b-qlora.
@1a2cjitenfei 2代版本的模型一直在更新中,你把你用的2代模型重新拉取一下最新的。 如果你用的git lfs拉取的模型,直接git pull就可以
感谢回复,按你说的方法已经解决了,不过peft=0.3.0好像还是不能运行但是peft=0.4.0dev0可以运行
from chatglm-6b-qlora.
@1a2cjitenfei peft目前0.3.0版本还无法支持qlora,需要使用0.4.0dev0,可能要等peft完全更新到0.4.0
from chatglm-6b-qlora.
Related Issues (20)
- 数据集格式instruction,input,output时tokenized出错 HOT 2
- 训练结束后,数据展示出现问题
- merge后模型Loading checkpoint shards Killed HOT 6
- 调优后的模型是否可以在CPU服务上部署? HOT 1
- protobuf 和 icetk 版本不兼容 HOT 1
- ImportError: libcudnn.so.8: cannot open shared object file: No such file or directory HOT 12
- RuntimeError: mat1 and mat2 shapes cannot be multiplied (588x4096 and 1x9437184) ,ChatGLM2-6B做微调,请问如何设置参数?? HOT 1
- RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:1 and cuda:0! (when checking argument for argument target in method wrapper_CUDA_nll_loss_forward),请问如何调整训练代码,适配多卡训练?? HOT 1
- transformers>4.30.2时,模型不会进行量化,是因为什么?
- BrokenPipeError: [Errno 32] Broken pipe HOT 7
- 训练结束后没有保存完整的adapter文件 HOT 2
- 用V100显卡微调chatglm2-6b,但是loss一直为0,eval_loss=nan
- 训练显存有些问题
- 微调后推理性能问题 HOT 1
- ChatGLM3-6B 微调报错 RuntimeError: CUDA error: invalid argument HOT 1
- ChatGLM2-6B微调后合并报错We need an `offload_dir` to dispatch this model according to this `device_map`, the following submodules need to be offloaded: HOT 2
- 合并模型的时候显存不够,用的4090,24G
- qlora微调训练随机性
- ValueError:
- ChatGLM2-6b模型合并时报错ValueError: We need an `offload_dir` to dispatch this model according to this `device_map`, the following submodules need to be offloaded
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from chatglm-6b-qlora.