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README.md
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/yassmenyoussef55-arete-global/huggingface/runs/z6qr57oj)
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# mixed_model_finetuned_cremad
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This model was trained from scratch on [CremaD dataset](https://github.com/CheyneyComputerScience/CREMA-D)
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This dataset provides 7442 samples of recordings from actors performing on 6 different emotions in English, which are:
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/yassmenyoussef55-arete-global/huggingface/runs/z6qr57oj)
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# mixed_model_finetuned_cremad
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This model was trained from scratch on [CremaD dataset](https://github.com/CheyneyComputerScience/CREMA-D) , To create this multimodal model, we employed wav2vec2, pretrained on audio data, and resnet3d, pretrained on video data
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This dataset provides 7442 samples of recordings from actors performing on 6 different emotions in English, which are:
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