search

nju-websoft / KnowLA

KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation, NAACL 2024
GNU General Public License v3.0
13 stars 2 forks source link

Help wanted! How to fix the ModuleNotFoundError: No module named 'utils.callbacks #4

Open kanseaveg opened 2 months ago

kanseaveg commented 2 months ago 
(knowla) [@gpu002 knowla]$ export PYTHONPATH=.
(knowla) [@gpu002 knowla]$ python test_csqa.py  --base_model='llama2_knowla_base_version/llama2_7B'  --is_KG=True  --lora_weights="./llama2-lora-cn"  --dataset="siqa"

===================================BUG REPORT===================================
Welcome to bitsandbytes. For bug reports, please submit your error trace to: https://github.com/TimDettmers/bitsandbytes/issues
================================================================================
CUDA SETUP: Required library version not found: libsbitsandbytes_cpu.so. Maybe you need to compile it from source?
CUDA SETUP: Defaulting to libbitsandbytes_cpu.so...
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cextension.py:31: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers and GPU quantization are unavailable.
  warn("The installed version of bitsandbytes was compiled without GPU support. "
Traceback (most recent call last):
  File "/public/home/code/20240619/knowla/test_csqa.py", line 15, in <module>
    from utils.callbacks import Iteratorize, Stream
ModuleNotFoundError: No module named 'utils.callbacks

How to fix this problem? thank you.

luoxindi commented 2 months ago

Thank you for your feedback. Please comment out that line of code.

kanseaveg commented 2 months ago 
(knowla) [@gpu001 knowla_lora]$ python test_csqa.py \
>     --base_model='./llama2_7B' \
>     --is_KG=True \
>     --lora_weights="./official_provided/llama2-lora-r16" \
>     --dataset="siqa"

===================================BUG REPORT===================================
Welcome to bitsandbytes. For bug reports, please submit your error trace to: https://github.com/TimDettmers/bitsandbytes/issues
================================================================================
CUDA SETUP: Required library version not found: libsbitsandbytes_cpu.so. Maybe you need to compile it from source?
CUDA SETUP: Defaulting to libbitsandbytes_cpu.so...
```shell

/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cextension.py:31: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers and GPU quantization are unavailable.
  warn("The installed version of bitsandbytes was compiled without GPU support. "
Traceback (most recent call last):
  File "/public/home/code/20240704/knowla_lora/test_csqa.py", line 15, in <module>
    from utils.callbacks import Iteratorize, Stream
ModuleNotFoundError: No module named 'utils.callbacks'

During the evaluation, I encountered this problem.

kanseaveg commented 2 months ago 
(knowla) [@gpu001 knowla_lora]$ python test_bbh.py    --base_model='./llama2_7B'     --is_KG=True     --lora_weights="./official_provided/llama2-lora-r16/llama2-lora"     

===================================BUG REPORT===================================
Welcome to bitsandbytes. For bug reports, please submit your error trace to: https://github.com/TimDettmers/bitsandbytes/issues
================================================================================
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: /public/home/env/miniconda/envs/knowla did not contain libcudart.so as expected! Searching further paths...
  warn(msg)
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('sys/dashboard/sys/remote')}
  warn(msg)
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('1;/public/spack-module/spack/modules/cascadelake/linux-centos7-broadwell'), PosixPath('1;/public/simg'), PosixPath('1'), PosixPath('1;/public/spack-module/spack/modules/cascadelake/linux-centos7-haswell')}
  warn(msg)
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('/opt/apps/modulefiles')}
  warn(msg)
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('@/tmp/.ICE-unix/50346,unix/unix'), PosixPath('local/unix')}
  warn(msg)
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('/var/www/ood/apps/sys/dashboard')}
  warn(msg)
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('-30}";\n for ((i=1; i<=time*2; i++))\n do\n port_used "${port}";\n port_status=$?;\n if [ "$port_status" == "0" ]; then\n return 0;\n else\n if [ "$port_status" == "127" ]; then\n echo "commands to find port were either not found or inaccessible.";\n echo "command options are lsof, nc, bash\'s /dev/tcp, or python (or python3) with socket lib.";\n return 127;\n fi;\n fi;\n sleep 0.5;\n done;\n return 1\n}'), PosixPath('() {  local port="${1}";\n local time="${2')}
  warn(msg)
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath(' < /dev/tcp/$1/$2 ) > /dev/null 2>&1;\n else\n return 127;\n fi\n };\n function port_used () \n { \n local port="${1#*'), PosixPath('-30}";\n for ((i=1; i<=time*2; i++))\n do\n port_used "${port}";\n port_status=$?;\n if [ "$port_status" == "0" ]; then\n return 0;\n else\n if [ "$port_status" == "127" ]; then\n echo "commands to find port were either not found or inaccessible.";\n echo "command options are lsof, nc, bash\'s /dev/tcp, or python (or python3) with socket lib.";\n return 127;\n fi;\n fi;\n sleep 0.5;\n done;\n return 1\n };\n export -f wait_until_port_used;\n function create_passwd () \n { \n tr -cd \'a-zA-Z0-9\' < /dev/urandom 2> /dev/null | head -c${1'), PosixPath('${port}"; do\n port=$(random_number "${2'), PosixPath('() {  function random_number () \n { \n shuf -i ${1}-${2} -n 1\n };\n export -f random_number;\n function port_used_python () \n { \n python -c "import socket; socket.socket().connect((\'$1\',$2))" > /dev/null 2>&1\n };\n function port_used_python3 () \n { \n python3 -c "import socket; socket.socket().connect((\'$1\',$2))" > /dev/null 2>&1\n };\n function port_used_nc () \n { \n nc -w 2 "$1" "$2" < /dev/null > /dev/null 2>&1\n };\n function port_used_lsof () \n { \n lsof -i '), PosixPath('-2000}" "${3'), PosixPath('-65535}");\n done;\n echo "${port}"\n };\n export -f find_port;\n function wait_until_port_used () \n { \n local port="${1}";\n local time="${2'), PosixPath('\' || echo "localhost") | awk \'END{print $NF}\');\n local port_strategies=(port_used_nc port_used_lsof port_used_bash port_used_python port_used_python3);\n for strategy in ${port_strategies[@]};\n do\n $strategy $host $port;\n status=$?;\n if [[ "$status" == "0" ]] || [[ "$status" == "1" ]]; then\n return $status;\n fi;\n done;\n return 127\n };\n export -f port_used;\n function find_port () \n { \n local host="${1'), PosixPath('-65535}");\n while port_used "${host}'), PosixPath('-localhost}";\n local port=$(random_number "${2'), PosixPath('}";\n local host=$((expr "${1}" '), PosixPath('"$2" > /dev/null 2>&1\n };\n function port_used_bash () \n { \n local bash_supported=$(strings /bin/bash 2>/dev/null | grep tcp);\n if [ "$bash_supported" == "/dev/tcp/*/*" ]; then\n ( '), PosixPath(" '\\(.*\\)"), PosixPath('-8}\n };\n export -f create_passwd\n}')}
  warn(msg)
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('() {  eval $($LMOD_DIR/ml_cmd "$@")\n}')}
  warn(msg)
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath("() {  tr -cd 'a-zA-Z0-9' < /dev/urandom 2> /dev/null | head -c${1"), PosixPath('-8}\n}')}
  warn(msg)
CUDA_SETUP: WARNING! libcudart.so not found in any environmental path. Searching /usr/local/cuda/lib64...
CUDA SETUP: CUDA runtime path found: /usr/local/cuda/lib64/libcudart.so
CUDA SETUP: Highest compute capability among GPUs detected: 8.0
CUDA SETUP: Detected CUDA version 117
CUDA SETUP: Loading binary /public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cuda117.so...
Traceback (most recent call last):
  File "/public/home/code/20240704/knowla_lora/test_bbh.py", line 16, in <module>
    from utils.callbacks import Iteratorize, Stream
ModuleNotFoundError: No module named 'utils.callbacks'

(knowla) [@gpu001 knowla_lora]$ python test_triviaqa.py    --base_model='./llama2_7B'     --is_KG=True     --lora_weights="./official_provided/llama2-lora-r16/llama2-lora"     

===================================BUG REPORT===================================
Welcome to bitsandbytes. For bug reports, please submit your error trace to: https://github.com/TimDettmers/bitsandbytes/issues
================================================================================
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: /public/home/env/miniconda/envs/knowla did not contain libcudart.so as expected! Searching further paths...
  warn(msg)
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('sys/dashboard/sys/remote')}
  warn(msg)
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('1;/public/simg'), PosixPath('1;/public/spack-module/spack/modules/cascadelake/linux-centos7-haswell'), PosixPath('1;/public/spack-module/spack/modules/cascadelake/linux-centos7-broadwell'), PosixPath('1')}
  warn(msg)
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('/opt/apps/modulefiles')}
  warn(msg)
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('@/tmp/.ICE-unix/50346,unix/unix'), PosixPath('local/unix')}
  warn(msg)
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('/var/www/ood/apps/sys/dashboard')}
  warn(msg)
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('() {  local port="${1}";\n local time="${2'), PosixPath('-30}";\n for ((i=1; i<=time*2; i++))\n do\n port_used "${port}";\n port_status=$?;\n if [ "$port_status" == "0" ]; then\n return 0;\n else\n if [ "$port_status" == "127" ]; then\n echo "commands to find port were either not found or inaccessible.";\n echo "command options are lsof, nc, bash\'s /dev/tcp, or python (or python3) with socket lib.";\n return 127;\n fi;\n fi;\n sleep 0.5;\n done;\n return 1\n}')}
  warn(msg)
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('-30}";\n for ((i=1; i<=time*2; i++))\n do\n port_used "${port}";\n port_status=$?;\n if [ "$port_status" == "0" ]; then\n return 0;\n else\n if [ "$port_status" == "127" ]; then\n echo "commands to find port were either not found or inaccessible.";\n echo "command options are lsof, nc, bash\'s /dev/tcp, or python (or python3) with socket lib.";\n return 127;\n fi;\n fi;\n sleep 0.5;\n done;\n return 1\n };\n export -f wait_until_port_used;\n function create_passwd () \n { \n tr -cd \'a-zA-Z0-9\' < /dev/urandom 2> /dev/null | head -c${1'), PosixPath('-localhost}";\n local port=$(random_number "${2'), PosixPath('}";\n local host=$((expr "${1}" '), PosixPath(" '\\(.*\\)"), PosixPath('-8}\n };\n export -f create_passwd\n}'), PosixPath('\' || echo "localhost") | awk \'END{print $NF}\');\n local port_strategies=(port_used_nc port_used_lsof port_used_bash port_used_python port_used_python3);\n for strategy in ${port_strategies[@]};\n do\n $strategy $host $port;\n status=$?;\n if [[ "$status" == "0" ]] || [[ "$status" == "1" ]]; then\n return $status;\n fi;\n done;\n return 127\n };\n export -f port_used;\n function find_port () \n { \n local host="${1'), PosixPath(' < /dev/tcp/$1/$2 ) > /dev/null 2>&1;\n else\n return 127;\n fi\n };\n function port_used () \n { \n local port="${1#*'), PosixPath('"$2" > /dev/null 2>&1\n };\n function port_used_bash () \n { \n local bash_supported=$(strings /bin/bash 2>/dev/null | grep tcp);\n if [ "$bash_supported" == "/dev/tcp/*/*" ]; then\n ( '), PosixPath('-2000}" "${3'), PosixPath('-65535}");\n while port_used "${host}'), PosixPath('-65535}");\n done;\n echo "${port}"\n };\n export -f find_port;\n function wait_until_port_used () \n { \n local port="${1}";\n local time="${2'), PosixPath('() {  function random_number () \n { \n shuf -i ${1}-${2} -n 1\n };\n export -f random_number;\n function port_used_python () \n { \n python -c "import socket; socket.socket().connect((\'$1\',$2))" > /dev/null 2>&1\n };\n function port_used_python3 () \n { \n python3 -c "import socket; socket.socket().connect((\'$1\',$2))" > /dev/null 2>&1\n };\n function port_used_nc () \n { \n nc -w 2 "$1" "$2" < /dev/null > /dev/null 2>&1\n };\n function port_used_lsof () \n { \n lsof -i '), PosixPath('${port}"; do\n port=$(random_number "${2')}
  warn(msg)
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('() {  eval $($LMOD_DIR/ml_cmd "$@")\n}')}
  warn(msg)
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath("() {  tr -cd 'a-zA-Z0-9' < /dev/urandom 2> /dev/null | head -c${1"), PosixPath('-8}\n}')}
  warn(msg)
CUDA_SETUP: WARNING! libcudart.so not found in any environmental path. Searching /usr/local/cuda/lib64...
CUDA SETUP: CUDA runtime path found: /usr/local/cuda/lib64/libcudart.so
CUDA SETUP: Highest compute capability among GPUs detected: 8.0
CUDA SETUP: Detected CUDA version 117
CUDA SETUP: Loading binary /public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cuda117.so...
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/fuzzywuzzy/fuzz.py:11: UserWarning: Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning
  warnings.warn('Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning')
You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama.LlamaTokenizer'>. If you see this, DO NOT PANIC! This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=True`. This should only be set if you understand what it means, and thouroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565
True
07/04/2024 20:55:14 - INFO - accelerate.utils.modeling -   We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
Loading checkpoint shards: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 2/2 [00:12<00:00,  6.30s/it]
Traceback (most recent call last):
  File "/public/home/code/20240704/knowla_lora/test_triviaqa.py", line 266, in <module>
    fire.Fire(main)
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/fire/core.py", line 141, in Fire
    component_trace = _Fire(component, args, parsed_flag_args, context, name)
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/fire/core.py", line 475, in _Fire
    component, remaining_args = _CallAndUpdateTrace(
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/fire/core.py", line 691, in _CallAndUpdateTrace
    component = fn(*varargs, **kwargs)
  File "/public/home/code/20240704/knowla_lora/test_triviaqa.py", line 47, in main
    model = PeftModel.from_pretrained(
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/peft/peft_model.py", line 271, in from_pretrained
    model.load_adapter(model_id, adapter_name, is_trainable=is_trainable, **kwargs)
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/peft/peft_model.py", line 556, in load_adapter
    adapters_weights = torch.load(
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/torch/serialization.py", line 815, in load
    return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/torch/serialization.py", line 1033, in _legacy_load
    magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, 'v'.

When I attempted to use the other two scripts and applied the weight file r=16 provided in the README.md, an error still occurred, with the cause of the error unknown.
kanseaveg commented 2 months ago

I was wondering if you've ever tried to reproduce results using the weight files you uploaded on Hugging Face? Alternatively, is there a script available that can successfully achieve this reproduction? Thank you.

kanseaveg commented 2 months ago 
(knowla) [@gpu001 knowla_lora]$ test_triviaqa.py
-bash: test_triviaqa.py: command not found
(knowla) [@gpu001 knowla_lora]$ python test_truthfulqa.py    --base_model='./llama2_7B'     --is_KG=True     --lora_weights="./official_provided/llama2-lora-r16/llama2-lora"     

===================================BUG REPORT===================================
Welcome to bitsandbytes. For bug reports, please submit your error trace to: https://github.com/TimDettmers/bitsandbytes/issues
================================================================================
CUDA SETUP: Required library version not found: libsbitsandbytes_cpu.so. Maybe you need to compile it from source?
CUDA SETUP: Defaulting to libbitsandbytes_cpu.so...
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cextension.py:31: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers and GPU quantization are unavailable.
  warn("The installed version of bitsandbytes was compiled without GPU support. "
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/fuzzywuzzy/fuzz.py:11: UserWarning: Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning
  warnings.warn('Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning')
You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama.LlamaTokenizer'>. If you see this, DO NOT PANIC! This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=True`. This should only be set if you understand what it means, and thouroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565
True
Loading checkpoint shards: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 2/2 [00:10<00:00,  5.46s/it]
Traceback (most recent call last):
  File "/public/home/code/20240704/knowla_lora/test_truthfulqa.py", line 206, in <module>
    fire.Fire(main)
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/fire/core.py", line 141, in Fire
    component_trace = _Fire(component, args, parsed_flag_args, context, name)
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/fire/core.py", line 475, in _Fire
    component, remaining_args = _CallAndUpdateTrace(
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/fire/core.py", line 691, in _CallAndUpdateTrace
    component = fn(*varargs, **kwargs)
  File "/public/home/code/20240704/knowla_lora/test_truthfulqa.py", line 48, in main
    model = PeftModel.from_pretrained(
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/peft/peft_model.py", line 271, in from_pretrained
    model.load_adapter(model_id, adapter_name, is_trainable=is_trainable, **kwargs)
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/peft/peft_model.py", line 556, in load_adapter
    adapters_weights = torch.load(
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/torch/serialization.py", line 815, in load
    return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/torch/serialization.py", line 1033, in _legacy_load
    magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, 'v'.
(knowla) [@gpu001 knowla_lora]$ 
(knowla) [@gpu001 knowla_lora]$ python test_truthfulqa.py    --base_model='./llama2_7B'     --is_KG=True     --lora_weights="./official_provided/llama2-lora-r16/llama2-lora"     

===================================BUG REPORT===================================
Welcome to bitsandbytes. For bug reports, please submit your error trace to: https://github.com/TimDettmers/bitsandbytes/issues
================================================================================
CUDA SETUP: Required library version not found: libsbitsandbytes_cpu.so. Maybe you need to compile it from source?
CUDA SETUP: Defaulting to libbitsandbytes_cpu.so...
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/bitsandbytes/cextension.py:31: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers and GPU quantization are unavailable.
  warn("The installed version of bitsandbytes was compiled without GPU support. "
/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/fuzzywuzzy/fuzz.py:11: UserWarning: Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning
  warnings.warn('Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning')
You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama.LlamaTokenizer'>. If you see this, DO NOT PANIC! This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=True`. This should only be set if you understand what it means, and thouroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565
True
Loading checkpoint shards: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 2/2 [00:08<00:00,  4.48s/it]
Traceback (most recent call last):
  File "/public/home/code/20240704/knowla_lora/test_truthfulqa.py", line 206, in <module>
    fire.Fire(main)
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/fire/core.py", line 141, in Fire
    component_trace = _Fire(component, args, parsed_flag_args, context, name)
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/fire/core.py", line 475, in _Fire
    component, remaining_args = _CallAndUpdateTrace(
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/fire/core.py", line 691, in _CallAndUpdateTrace
    component = fn(*varargs, **kwargs)
  File "/public/home/code/20240704/knowla_lora/test_truthfulqa.py", line 48, in main
    model = PeftModel.from_pretrained(
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/peft/peft_model.py", line 271, in from_pretrained
    model.load_adapter(model_id, adapter_name, is_trainable=is_trainable, **kwargs)
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/peft/peft_model.py", line 556, in load_adapter
    adapters_weights = torch.load(
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/torch/serialization.py", line 815, in load
    return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
  File "/public/home/env/miniconda/envs/knowla/lib/python3.10/site-packages/torch/serialization.py", line 1033, in _legacy_load
    magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, 'v'.

I have tried all the scripts, and essentially, the issue lies with pickle_module.load.

luoxindi commented 2 months ago

Thank you for your attention to our work. I am confident that my weight files are correct. While uploading the code, I removed some unrelated files to minimize the final code size, but there may be some dependency issues with the packages. I will review the script and upload a corrected version if necessary.

kanseaveg commented 2 months ago

Okay, thank you for your generous explanation. I'd like to know how long the review process for the script typically takes?

luoxindi commented 2 months ago

The script is correct and I can run it correctly. You should set the 'is_KG' to False if you want to run alpaca(r=16).

ttt
kanseaveg commented 2 months ago

image

Hello, in the README.md file, it indicates that I must use is_KG=True. Could you please tell me if there's a misunderstanding on my part? Excuse me?

kanseaveg commented 1 month ago 
ubuntu@gpu16:/pzstor/OTHER-BASELINE/KnowLA$ python test_csqa.py     --base_model='./huggingface/models/llama2_knowla/llama2_7B'     --is_KG=True     --lora_weights="./llama2-lora-cn"     --dataset="siqa"
Traceback (most recent call last):
  File "/pzstor/OTHER-BASELINE/KnowLA/test_csqa.py", line 15, in <module>
    from utils.callbacks import Iteratorize, Stream
ModuleNotFoundError: No module named 'utils.callbacks'
(test-moss2) ubuntu@gpu16:/pzstor/OTHER-BASELINE/KnowLA$ python test_csqa.py     --base_model='./huggingface/models/llama2_knowla/llama2_7B'     --is_KG=False     --lora_weights="./llama2-lora-cn"     --dataset="siqa"
Traceback (most recent call last):
  File "/pzstor/OTHER-BASELINE/KnowLA/test_csqa.py", line 15, in <module>
    from utils.callbacks import Iteratorize, Stream
ModuleNotFoundError: No module named 'utils.callbacks'
ubuntu@gpu16:/pzstor/OTHER-BASELINE/KnowLA$

No matter it's true or false, your code exist a huge problems and be hard to reproduce.