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README.md
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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: '้ฉใ', 1: 'ๆใ', 2: 'ใใ', 3: 'ๆใ', 4: 'ๆใใ', 5: 'ๅใณ', 6: 'ๅฅฝใ', 7: 'ๅฎใใ', 8: 'ๆฒใใฟ', 9: 'ๆฅใใใใ' }
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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: '้ฉใ', 1: 'ๆใ', 2: 'ใใ', 3: 'ๆใ', 4: 'ๆใใ', 5: 'ๅใณ', 6: 'ๅฅฝใ', 7: 'ๅฎใใ', 8: 'ๆฒใใฟ', 9: 'ๆฅใใใใ' }
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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.
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