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  tags:
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  - fastai
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- # Amazing!
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- 🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
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- # Some next steps
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- 1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
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- 2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([documentation here](https://huggingface.co/docs/hub/spaces)).
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- 3. Join the fastai community on the [Fastai Discord](https://discord.com/invite/YKrxeNn)!
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- Greetings fellow fastlearner 🤝! Don't forget to delete this content from your model card.
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-
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- ---
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-
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- # Model card
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- ## Model description
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- More information needed
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- ## Intended uses & limitations
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- More information needed
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- ## Training and evaluation data
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- More information needed
 
 
 
 
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  tags:
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  - fastai
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  ---
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+ ## Model description
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+ This repo contains the trained model for Multi-object classification
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+ Full credits go to [Nhu Hoang](https://www.linkedin.com/in/nhu-hoang/)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ Motivation: Classifying multiple objects is a challenging task without using an object detection algorithm. This model was trained on resnet34 backbone and achieved a good accuracy.
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+ ## Training and evaluation data
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+ ### Training hyperparameters
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+ The following hyperparameters were used during training:
 
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+ | Hyperparameters | Value |
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+ | :-- | :-- |
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+ | name | Adam |
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+ | learning_rate | 3e-3 |
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+ | training_precision | float16 |