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tags:
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- fastai
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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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More information needed
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tags:
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- fastai
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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 |
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