$ bash train_lora.sh -m dataset
INFO:lightning_fabric.utilities.seed:Seed set to 42
Traceback (most recent call last):
File "D:\dev\chatglm3_finetuning\datautils.py", line 159, in
tokenizer, config, ,_ = dataHelper.load_tokenizer_and_config(tokenizer_class_name=ChatGLMTokenizer,
File "D:\conda_envs\ai\lib\site-packages\deep_training\data_helper\data_helper.py", line 190, in load_tokenizer_and_config
tokenizer = load_tokenizer(tokenizer_name=tokenizer_name or model_args.tokenizer_name,
File "D:\conda_envs\ai\lib\site-packages\numpy_io\pytorch_loader\tokenizer_config_helper.py", line 37, in load_tokenizer
tokenizer = class_name.from_pretrained(tokenizer_name or model_name_or_path, **tokenizer_kwargs)
File "D:\conda_envs\ai\lib\site-packages\transformers\tokenization_utils_base.py", line 1784, in from_pretrained
resolved_vocab_files[file_id] = cached_file(
File "D:\conda_envs\ai\lib\site-packages\transformers\utils\hub.py", line 417, in cached_file
resolved_file = hf_hub_download(
File "D:\conda_envs\ai\lib\site-packages\huggingface_hub\utils_validators.py", line 110, in _inner_fn
validate_repo_id(arg_value)
File "D:\conda_envs\ai\lib\site-packages\huggingface_hub\utils_validators.py", line 158, in validate_repo_id
raise HFValidationError(
huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/data/nlp/pre_models/torch/chatglm3/chatglm3-6b'. Use repo_type argument if needed.
$ bash train_lora.sh -m dataset INFO:lightning_fabric.utilities.seed:Seed set to 42 Traceback (most recent call last): File "D:\dev\chatglm3_finetuning\datautils.py", line 159, in
tokenizer, config, ,_ = dataHelper.load_tokenizer_and_config(tokenizer_class_name=ChatGLMTokenizer,
File "D:\conda_envs\ai\lib\site-packages\deep_training\data_helper\data_helper.py", line 190, in load_tokenizer_and_config
tokenizer = load_tokenizer(tokenizer_name=tokenizer_name or model_args.tokenizer_name,
File "D:\conda_envs\ai\lib\site-packages\numpy_io\pytorch_loader\tokenizer_config_helper.py", line 37, in load_tokenizer
tokenizer = class_name.from_pretrained(tokenizer_name or model_name_or_path, **tokenizer_kwargs)
File "D:\conda_envs\ai\lib\site-packages\transformers\tokenization_utils_base.py", line 1784, in from_pretrained
resolved_vocab_files[file_id] = cached_file(
File "D:\conda_envs\ai\lib\site-packages\transformers\utils\hub.py", line 417, in cached_file
resolved_file = hf_hub_download(
File "D:\conda_envs\ai\lib\site-packages\huggingface_hub\utils_validators.py", line 110, in _inner_fn
validate_repo_id(arg_value)
File "D:\conda_envs\ai\lib\site-packages\huggingface_hub\utils_validators.py", line 158, in validate_repo_id
raise HFValidationError(
huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/data/nlp/pre_models/torch/chatglm3/chatglm3-6b'. Use
repo_type
argument if needed.