Comments (4)
cebtenzzre
commented on July 20, 2024
Based on that import, it appears that the minimum supported version of transformers is actually v4.35.0.
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Yiyi-philosophy
commented on July 20, 2024
Yes, I appreciate your input. I did attempt to use Transformers v4.35.0, but encountered the following error:
/opt/conda/lib/python3.10/site-packages/datasets/table.py:1421: FutureWarning: promote has been superseded by mode='
default'.
table = cls._concat_blocks(blocks, axis=0)
Traceback (most recent call last):
File "/app/yarn_4/finetune.py", line 295, in <module>
main(args.parse_args())
File "/app/yarn_4/finetune.py", line 158, in main
# model.gradient_checkpointing_enable()
File "/opt/conda/lib/python3.10/site-packages/transformers/modeling_utils.py", line 1872, in gradient_checkpointin
g_enable
self._set_gradient_checkpointing(enable=True, gradient_checkpointing_func=gradient_checkpointing_func)
TypeError: LlamaPreTrainedModel._set_gradient_checkpointing() got an unexpected keyword argument 'enable'Further investigation led me to related GitHub issues:
According to these discussions, it's suggested that using Transformers v4.34.0 resolves the issue. I wanted to share this additional information for context.
Besides, I can change is_flash_attn_2_available to another implemtation to fix problem:
at here
change to
from transformers.utils import (
add_start_docstrings,
add_start_docstrings_to_model_forward,
# is_flash_attn_2_available,
logging,
replace_return_docstrings,
)
from .configuration_llama import LlamaConfig
# if is_flash_attn_2_available():
try:
from flash_attn import flash_attn_func, flash_attn_varlen_func
from flash_attn.bert_padding import index_first_axis, pad_input, unpad_input # noqa
except:
print("Error is_flash_attn_2_available")from yarn.
Yiyi-philosophy
commented on July 20, 2024
But at the same time, if I want to use --deepspeed, something went wrong:
Traceback (most recent call last):
File "/app/yarn_4/finetune.py", line 295, in <module>
main(args.parse_args())
File "/app/yarn_4/finetune.py", line 160, in main
accelerator.register_for_checkpointing(scheduler)
File "/opt/conda/lib/python3.10/site-packages/accelerate/accelerator.py", line 3139, in register_for_checkpointing
raise ValueError(err)
ValueError: All `objects` must include a `state_dict` and `load_state_dict` function to be stored. The following inputs are invalid:
- Item at index 0, `DummyScheduler`
-Further investigation led me to related GitHub issues:
How can I fix this problem?
(this time Transformers is still 4.34.0)
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jquesnelle
commented on July 20, 2024
Yes, I appreciate your input. I did attempt to use Transformers v4.35.0, but encountered the following error:
/opt/conda/lib/python3.10/site-packages/datasets/table.py:1421: FutureWarning: promote has been superseded by mode=' default'. table = cls._concat_blocks(blocks, axis=0) Traceback (most recent call last): File "/app/yarn_4/finetune.py", line 295, in <module> main(args.parse_args()) File "/app/yarn_4/finetune.py", line 158, in main # model.gradient_checkpointing_enable() File "/opt/conda/lib/python3.10/site-packages/transformers/modeling_utils.py", line 1872, in gradient_checkpointin g_enable self._set_gradient_checkpointing(enable=True, gradient_checkpointing_func=gradient_checkpointing_func) TypeError: LlamaPreTrainedModel._set_gradient_checkpointing() got an unexpected keyword argument 'enable'
This was caused by a recent transformers change -- I've pushed cdb6459 to fix this!
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