wassim249 / tig_mi

Think.ai hackathon winner project : Moroccan interior design generator

About me

Hello! I’m Wassim, an AI/ML Engineer enhancing business growth through technology at Version28 in the London Area. With a strong background in Machine learning, Large Language Models, and fine-tuning AI applications, I excel in turning cutting-edge AI theories into practical, market-ready solutions.

🔍 What I Do: I specialise in implementing AI solutions that drive innovation, efficiency, and growth. At Version28, I'm part of a dynamic team focusing on ESG growth and compliance, sales performance, and marketing transformation. We leverage AI to foster business development, streamline sales strategies, and enhance digital marketing efforts.

🎓 Academic Background: I am pursuing a Master’s in Artificial Intelligence at Ibn Tofaïl University, Kénitra, with a prior Bachelor’s in Information Systems and Software Engineering from the Faculty of Sciences of Fes.

🌐 Let’s Connect! I’m always open to discussing AI innovations and potential collaborations. If you're interested in leveraging AI for business growth or need a partner for your AI initiatives, please connect with me here or reach out at [email protected].

My favorite tools

Programming languages

Data science and machine learning

Software and tools

Databases and cloud

Web development

Certifications

• [DEEPLEARNING.AI] Machine Learning specialization
• [DEEPLEARNING.AI] Neural Networks and Deep Learning
• **[DEEPLEARNING.AI] Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning **
• **[DEEPLEARNING.AI] Convolutional Neural Networks in TensorFlow **

Statistics

Connect with me

tig_mi's Issues

Trying to train the model and got this error

I was trying to execute "model_train.ipynb" in google colab, all the above steps were executed without any problem in the model_train.ipynb but at the time Training the model I got this error as below

Training the UNet...
ERROR: ld.so: object 'libtcmalloc.so' from LD_PRELOAD cannot be preloaded (cannot open shared object file): ignored.
ERROR: ld.so: object 'libtcmalloc.so' from LD_PRELOAD cannot be preloaded (cannot open shared object file): ignored.
ERROR: ld.so: object 'libtcmalloc.so' from LD_PRELOAD cannot be preloaded (cannot open shared object file): ignored.
ERROR: ld.so: object 'libtcmalloc.so' from LD_PRELOAD cannot be preloaded (cannot open shared object file): ignored.

Traceback (most recent call last):
File "/content/diffusers/examples/dreambooth/train_dreambooth.py", line 803, in
main()
File "/content/diffusers/examples/dreambooth/train_dreambooth.py", line 590, in main
train_dataloader = torch.utils.data.DataLoader(
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 349, in init
sampler = RandomSampler(dataset, generator=generator) # type: ignore[arg-type]
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/sampler.py", line 140, in init
raise ValueError(f"num_samples should be a positive integer value, but got num_samples={self.num_samples}")
ValueError: num_samples should be a positive integer value, but got num_samples=0
Traceback (most recent call last):
File "/usr/local/bin/accelerate", line 8, in
sys.exit(main())
File "/usr/local/lib/python3.10/dist-packages/accelerate/commands/accelerate_cli.py", line 43, in main
args.func(args)
File "/usr/local/lib/python3.10/dist-packages/accelerate/commands/launch.py", line 837, in launch_command
simple_launcher(args)
File "/usr/local/lib/python3.10/dist-packages/accelerate/commands/launch.py", line 354, in simple_launcher
raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)
subprocess.CalledProcessError: Command '['/usr/bin/python3', '/content/diffusers/examples/dreambooth/train_dreambooth.py', '--offset_noise', '--image_captions_filename', '--train_only_unet', '--save_starting_step=10', '--save_n_steps=10', '--Session_dir=/content/gdrive/MyDrive/TIG-MI/Sessions/TIG-MI_SESSION', '--pretrained_model_name_or_path=/content/stable-diffusion-custom', '--instance_data_dir=/content/gdrive/MyDrive/TIG-MI/Sessions/TIG-MI_SESSION/instance_images', '--output_dir=/content/models/TIG-MI_SESSION', '--captions_dir=/content/gdrive/MyDrive/TIG-MI/Sessions/TIG-MI_SESSION/captions', '--instance_prompt=', '--seed=695057', '--resolution=512', '--mixed_precision=fp16', '--train_batch_size=1', '--gradient_accumulation_steps=1', '--use_8bit_adam', '--learning_rate=2e-06', '--lr_scheduler=linear', '--lr_warmup_steps=0', '--max_train_steps=150']' returned non-zero exit status 1.
Something went wrong

Or can you please provide pre-trained model link to download because in readme file it's wrong
Thank you in Advance for helping :)