File "/demo/project/pre_train_ft_7b.py", line 200, in run_training
trainer = Trainer(
File "/demo/miniconda3/envs/sqlcode/lib/python3.9/site-packages/transformers/trainer.py", line 503, in __init__
self.callback_handler = CallbackHandler(
File "/demo/miniconda3/envs/sqlcode/lib/python3.9/site-packages/transformers/trainer_callback.py", line 313, in __init__
self.add_callback(cb)
File "/demo/miniconda3/envs/sqlcode/lib/python3.9/site-packages/transformers/trainer_callback.py", line 330, in add_callback
cb = callback() if isinstance(callback, type) else callback
File "/demo/miniconda3/envs/sqlcode/lib/python3.9/site-packages/transformers/integrations/integration_utils.py", line 597, in __init__
from torch.utils.tensorboard import SummaryWriter # noqa: F401
File "/demo/miniconda3/envs/sqlcode/lib/python3.9/site-packages/torch/utils/tensorboard/__init__.py", line 12, in <module>
from .writer import FileWriter, SummaryWriter # noqa: F401
File "/demo/miniconda3/envs/sqlcode/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py", line 10, in <module>
from tensorboard.compat.proto import event_pb2
File "/demo/miniconda3/envs/sqlcode/lib/python3.9/site-packages/tensorboard/compat/proto/event_pb2.py", line 17, in <module>
from tensorboard.compat.proto import summary_pb2 as tensorboard_dot_compat_dot_proto_dot_summary__pb2
File "/demo/miniconda3/envs/sqlcode/lib/python3.9/site-packages/tensorboard/compat/proto/summary_pb2.py", line 17, in <module>
from tensorboard.compat.proto import tensor_pb2 as tensorboard_dot_compat_dot_proto_dot_tensor__pb2
File "/demo/miniconda3/envs/sqlcode/lib/python3.9/site-packages/tensorboard/compat/proto/tensor_pb2.py", line 16, in <module>
from tensorboard.compat.proto import resource_handle_pb2 as tensorboard_dot_compat_dot_proto_dot_resource__handle__pb2
File "/demo/miniconda3/envs/sqlcode/lib/python3.9/site-packages/tensorboard/compat/proto/resource_handle_pb2.py", line 16, in <module>
from tensorboard.compat.proto import tensor_shape_pb2 as tensorboard_dot_compat_dot_proto_dot_tensor__shape__pb2
File "/demo/miniconda3/envs/sqlcode/lib/python3.9/site-packages/tensorboard/compat/proto/tensor_shape_pb2.py", line 36, in <module>
_descriptor.FieldDescriptor(
File "/demo/miniconda3/envs/sqlcode/lib/python3.9/site-packages/google/protobuf/descriptor.py", line 553, in __new__
_message.Message._CheckCalledFromGeneratedFile()
TypeError: Descriptors cannot be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:
1. Downgrade the protobuf package to 3.20.x or lower.
2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).
To reproduce
Expected behavior
training_args = TrainingArguments(output_dir="test_trainer") should be modified
đ Bug
To reproduce
Expected behavior
training_args = TrainingArguments(output_dir="test_trainer") should be modified
training_args = TrainingArguments(output_dir="test_trainer",report_to="none")
Environment
Additional context