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@@ -18,7 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
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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/gt6e5ppa)
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  # mixed_model_finetuned_cremad
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- This model is a fine-tuned version of wav2vec2 on audio stream part and resnet 3d on video stream part ,[](https://huggingface.co/) on CREMA-D dataset for emotion recognition task.
 
 
 
 
 
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3098
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  - Accuracy: 0.8972
 
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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/gt6e5ppa)
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  # mixed_model_finetuned_cremad
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+ This model is a fine-tuned version of wav2vec2 on audio stream part and pretrained resnet3d_101 on video stream part ,[](https://huggingface.co/)
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+ It 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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+
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+ ```python
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+ emotions = ['angry', 'disgust', 'fearful', 'happy', 'neutral', 'sad']
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+ ```
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3098
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  - Accuracy: 0.8972