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@@ -6,4 +6,11 @@ The dataset was composed of about 1,700 sentences, with about 100~250 sentences
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  emotion_mapping = { 0: 'amaze', 1: 'anger', 2: 'dislike', 3: 'excite', 4: 'fear', 5: 'joy', 6: 'like', 7: 'relief', 8: 'sad', 9: 'shame' }
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- emotion_mapping = { 0: '้ฉšใ', 1: 'ๆ€’ใ‚Š', 2: 'ใ„ใ‚„', 3: 'ๆ˜‚ใ‚Š', 4: 'ๆ€–ใŒใ‚Š', 5: 'ๅ–œใณ', 6: 'ๅฅฝใ', 7: 'ๅฎ‰ใ‚‰ใŽ', 8: 'ๆ‚ฒใ—ใฟ', 9: 'ๆฅใšใ‹ใ—ใ„' }
 
 
 
 
 
 
 
 
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  emotion_mapping = { 0: 'amaze', 1: 'anger', 2: 'dislike', 3: 'excite', 4: 'fear', 5: 'joy', 6: 'like', 7: 'relief', 8: 'sad', 9: 'shame' }
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+ emotion_mapping = { 0: '้ฉšใ', 1: 'ๆ€’ใ‚Š', 2: 'ใ„ใ‚„', 3: 'ๆ˜‚ใ‚Š', 4: 'ๆ€–ใŒใ‚Š', 5: 'ๅ–œใณ', 6: 'ๅฅฝใ', 7: 'ๅฎ‰ใ‚‰ใŽ', 8: 'ๆ‚ฒใ—ใฟ', 9: 'ๆฅใšใ‹ใ—ใ„' }
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+ ## Evaluation result with our test data
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+ | Accuracy | Macro F1 |
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+ |---------------|-----------------------------|
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+ | 95.57% | 95.42% |
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+ I will continue to fine-tune this model soon.