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@@ -50,10 +50,10 @@ This repository provides one fine-tuned weights:
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  1. **EmotionCLIP Weights**
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  - Fine-tuned on the EmoSet 118K dataset, without additional training specifically for facial emotion recognition.
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  - Final evaluation results:
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- - Loss: 1.5465
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- - Accuracy: 0.8256
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- - Macro_Recall: 0.7803
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- - F1: 0.8235
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  ## Usage Instructions
@@ -128,9 +128,6 @@ for idx in range(num_images, rows * cols):
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  plt.tight_layout()
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  plt.show()
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  ```
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- This repository provides two fine-tuned weights:
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- - Accuracy: 0.8042
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- - Recall: 0.8042
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- - F1: 0.8057
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  ---
 
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  1. **EmotionCLIP Weights**
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  - Fine-tuned on the EmoSet 118K dataset, without additional training specifically for facial emotion recognition.
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  - Final evaluation results:
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+ - Accuracy: 0.8042
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+ - Recall: 0.8042
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+ - F1: 0.8057
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+
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  ## Usage Instructions
 
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  plt.tight_layout()
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  plt.show()
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  ```
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+
 
 
 
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  ---