When I am running the training command, bash shell/run_single_node.sh it create training.log file with failed training and errors.

bash shell/run_single_node.sh
In this I get error i.e

1. tourch.dtype it want only from this option ["auto", "bfloat16", "float16", "float32"]. But in .sh file it is given as none for non llama model. SO I updated it as  "float32".
2. Here PEFT_MODEL_NAME=None is passed but when they read then it get None as string do condiion not worked, So I updated in file manually. In src/model.py line 54 I added this."peft_model_name=None"
3. Know I run this command in both gGPU macheiene and google colab but getting issue.

Error 1:   

Traceback (most recent call last):
File "/home/ubuntu/RecLM-emb/train.py", line 131, in
main()
File "/home/ubuntu/RecLM-emb/train.py", line 27, in main
model_args, data_args, training_args = parser.parse_args_into_dataclasses()
File "/home/ubuntu/my_env/lib/python3.9/site-packages/transformers/hf_argparser.py", line 338, in parse_args_into_dataclasses
obj = dtype(**inputs)
File "", line 115, in init
File "/home/ubuntu/my_env/lib/python3.9/site-packages/transformers/training_args.py", line 1372, in post_init
and (self.device.type != "cuda")
File "/home/ubuntu/my_env/lib/python3.9/site-packages/transformers/training_args.py", line 1795, in device
return self._setup_devices
File "/home/ubuntu/my_env/lib/python3.9/site-packages/transformers/utils/generic.py", line 54, in get
cached = self.fget(obj)
File "/home/ubuntu/my_env/lib/python3.9/site-packages/transformers/training_args.py", line 1739, in _setup_devices
self.distributed_state = PartialState(
File "/home/ubuntu/my_env/lib/python3.9/site-packages/accelerate/state.py", line 230, in init
torch.cuda.set_device(self.device)
File "/home/ubuntu/my_env/lib/python3.9/site-packages/torch/cuda/init.py", line 326, in set_device
torch._C._cuda_setDevice(device)
RuntimeError: CUDA error: invalid device ordinal

Error 2: 

ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 1 (pid: 27118) of binary: /home/ubuntu/my_env/bin/python3.9
Traceback (most recent call last):
File "/home/ubuntu/my_env/bin/torchrun", line 8, in
sys.exit(main())
File "/home/ubuntu/my_env/lib/python3.9/site-packages/torch/distributed/elastic/multiprocessing/errors/init.py", line 346, in wrapper
return f(*args, **kwargs)
File "/home/ubuntu/my_env/lib/python3.9/site-packages/torch/distributed/run.py", line 762, in main
run(args)
File "/home/ubuntu/my_env/lib/python3.9/site-packages/torch/distributed/run.py", line 753, in run
elastic_launch(
File "/home/ubuntu/my_env/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 132, in call
return launch_agent(self._config, self._entrypoint, list(args))
File "/home/ubuntu/my_env/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 246, in launch_agent
raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
To resolve this and testing I tried to pass only one file from all 10 file in traing, and also pass only 100 data of that file  to reduce the traing data but itsas not worked for me.

As shown in the question: If I successfully run these six modules, can they be immediately combined into a usable recommendation system?

We look forward to your reply.

The checkpoint model RecLLaMA URL referenced in the README is not working, I cannot access it.

RecLM-emb/shell/test_data_pipeline.sh, line 56, shows python preprocess/gpt_api/query_api. py, but there is no query_api. py file in the RecLM-emb/preprocess/gpt_api/ directory, only the api. py file. May I ask if the file is missing?

File "/home/deepak/recommendation system/RecAI/Knowledge_Plugin/preprocess/step2-Base_models/RecModel/data_loaders/DataLoader.py", line 54, in init
with open(self.path + f"/{dataset}.test_candidate.txt", "r") as f:
FileNotFoundError: [Errno 2] No such file or directory: '../data/ml100k01-1-5/ml100k01-1-5.test_candidate.txt'

bash shell/data_pipeline.sh
bash shell/test_data_pipeline.sh

The above script will consume a lot of cost to call OpenAI. Can you provide the file generated after executing the script? Looking forward to your reply.

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