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README.md
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@@ -30,19 +30,6 @@ It achieves the following results on the evaluation set:
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- Weighted F1: 0.6286
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- Hamming Loss: 0.0266
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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| No log | 3.0 | 31131 | 0.0719 | 0.7358 | 0.5840 | 0.6512 | 0.5957 | 0.4191 | 0.4670 | 0.7120 | 0.5840 | 0.6286 | 0.0266 |
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### Framework versions
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- Transformers 4.47.0
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- Weighted F1: 0.6286
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- Hamming Loss: 0.0266
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### Training hyperparameters
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| No log | 3.0 | 31131 | 0.0719 | 0.7358 | 0.5840 | 0.6512 | 0.5957 | 0.4191 | 0.4670 | 0.7120 | 0.5840 | 0.6286 | 0.0266 |
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### Test results
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| Emotion | Precision | Recall | F1-Score | Support |
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|------------------|-----------|--------|----------|---------|
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| admiration | 0.65 | 0.69 | 0.67 | 504 |
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| amusement | 0.72 | 0.89 | 0.80 | 264 |
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| anger | 0.78 | 0.70 | 0.74 | 1585 |
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| annoyance | 0.51 | 0.11 | 0.18 | 320 |
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| approval | 0.58 | 0.31 | 0.41 | 351 |
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| caring | 0.50 | 0.27 | 0.35 | 135 |
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| confusion | 0.51 | 0.33 | 0.40 | 153 |
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| curiosity | 0.52 | 0.49 | 0.50 | 284 |
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| desire | 0.46 | 0.25 | 0.33 | 83 |
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| disappointment | 0.58 | 0.09 | 0.16 | 151 |
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| disapproval | 0.51 | 0.28 | 0.36 | 267 |
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| disgust | 0.72 | 0.64 | 0.68 | 1222 |
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| embarrassment | 0.78 | 0.19 | 0.30 | 37 |
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| excitement | 0.54 | 0.36 | 0.43 | 103 |
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| fear | 0.78 | 0.75 | 0.77 | 787 |
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| gratitude | 0.92 | 0.89 | 0.90 | 352 |
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| grief | 0.00 | 0.00 | 0.00 | 6 |
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| joy | 0.87 | 0.77 | 0.82 | 2298 |
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| love | 0.72 | 0.60 | 0.65 | 1305 |
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| nervousness | 0.00 | 0.00 | 0.00 | 23 |
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| optimism | 0.71 | 0.56 | 0.63 | 1329 |
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| pride | 0.00 | 0.00 | 0.00 | 16 |
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| realization | 0.46 | 0.11 | 0.18 | 145 |
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| relief | 0.59 | 0.08 | 0.14 | 160 |
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| remorse | 0.56 | 0.77 | 0.65 | 56 |
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| sadness | 0.78 | 0.67 | 0.72 | 2212 |
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| surprise | 0.59 | 0.28 | 0.38 | 572 |
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| neutral | 0.69 | 0.56 | 0.62 | 2668 |
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| **Micro Avg** | 0.74 | 0.60 | 0.66 | 17388 |
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| **Macro Avg** | 0.57 | 0.42 | 0.46 | 17388 |
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| **Weighted Avg** | 0.72 | 0.60 | 0.65 | 17388 |
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| **Samples Avg** | 0.64 | 0.61 | 0.61 | 17388 |
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### Framework versions
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- Transformers 4.47.0
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