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@@ -36,6 +36,10 @@ The model is trained using the following datasets:
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  2. **Open Human Facial Emotion Recognition Dataset**:
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  - Contains nearly 10,000 images with emotion labels gathered from wild scenes to enhance the model's capability in facial emotion recognition.
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  ## Fine-tuning Weights
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  This repository provides two fine-tuned weights:
@@ -56,9 +60,6 @@ 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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- ## training method
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-
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- Prefix-Tuning
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  ## Usage Instructions
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  2. **Open Human Facial Emotion Recognition Dataset**:
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  - Contains nearly 10,000 images with emotion labels gathered from wild scenes to enhance the model's capability in facial emotion recognition.
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+ ## training method
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+
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+ Prefix-Tuning
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+
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  ## Fine-tuning Weights
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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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  ## Usage Instructions
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