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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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@@ -64,6 +51,43 @@ The following hyperparameters were used during training:
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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