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multilingual_go_emotions_V1.1

Text Classification
Safetensors
bert
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@@ -42,69 +42,70 @@ This repository/space contains details about a multilingual emotion classificati
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  The following table shows the performance metrics of the fine-tuned model on the test set, broken down by emotion category.
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  The table below shows the performance of the test model:
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-
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- | Labels | Accuracy | Precision | Recall | F1 | MCC | Support | Threshold |
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- | -------------- | -------- | --------- | ------ | ------ | ------- | ------- | --------- |
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- | admiration | 0.935 | 0.616 | 0.629 | 0.622 | 0.587 | 2790 | 0.20 |
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- | amusement | 0.969 | 0.706 | 0.800 | 0.750 | 0.735 | 1866 | 0.10 |
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- | anger | 0.956 | 0.360 | 0.344 | 0.352 | 0.329 | 1128 | 0.10 |
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- | annoyance | 0.925 | 0.274 | 0.263 | 0.268 | 0.229 | 1704 | 0.10 |
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- | approval | 0.904 | 0.286 | 0.330 | 0.306 | 0.256 | 2094 | 0.10 |
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- | caring | 0.962 | 0.299 | 0.370 | 0.331 | 0.314 | 816 | 0.10 |
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- | confusion | 0.961 | 0.369 | 0.333 | 0.350 | 0.331 | 1020 | 0.35 |
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- | curiosity | 0.932 | 0.404 | 0.569 | 0.473 | 0.445 | 1734 | 0.10 |
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- | desire | 0.985 | 0.412 | 0.418 | 0.415 | 0.407 | 414 | 0.35 |
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- | disappointment | 0.959 | 0.276 | 0.204 | 0.235 | 0.217 | 1014 | 0.25 |
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- | disapproval | 0.926 | 0.238 | 0.324 | 0.275 | 0.240 | 1398 | 0.10 |
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- | disgust | 0.977 | 0.364 | 0.297 | 0.327 | 0.317 | 600 | 0.25 |
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- | embarrassment | 0.993 | 0.538 | 0.292 | 0.378 | 0.393 | 240 | 0.85 |
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- | excitement | 0.971 | 0.285 | 0.327 | 0.305 | 0.291 | 624 | 0.20 |
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- | fear | 0.986 | 0.562 | 0.474 | 0.514 | 0.509 | 498 | 0.40 |
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- | gratitude | 0.989 | 0.928 | 0.890 | 0.909 | 0.903 | 2004 | 0.75 |
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- | grief | 0.998 | 0.273 | 0.333 | 0.300 | 0.301 | 36 | 0.15 |
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- | joy | 0.959 | 0.382 | 0.453 | 0.415 | 0.396 | 1032 | 0.20 |
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- | love | 0.972 | 0.734 | 0.780 | 0.757 | 0.742 | 1812 | 0.20 |
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- | nervousness | 0.995 | 0.339 | 0.358 | 0.348 | 0.346 | 120 | 0.20 |
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- | optimism | 0.970 | 0.553 | 0.427 | 0.482 | 0.471 | 1062 | 0.45 |
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- | pride | 0.997 | 0.387 | 0.286 | 0.329 | 0.331 | 84 | 0.15 |
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- | realization | 0.964 | 0.191 | 0.152 | 0.169 | 0.152 | 792 | 0.25 |
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- | relief | 0.992 | 0.129 | 0.145 | 0.137 | 0.133 | 138 | 0.10 |
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- | remorse | 0.986 | 0.566 | 0.614 | 0.589 | 0.583 | 516 | 0.25 |
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- | sadness | 0.968 | 0.506 | 0.444 | 0.473 | 0.457 | 1062 | 0.40 |
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- | surprise | 0.973 | 0.465 | 0.450 | 0.457 | 0.444 | 828 | 0.45 |
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- | neutral | 0.731 | 0.577 | 0.630 | 0.602 | 0.400 | 10524 | 0.10 |
 
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  ### Test Model Performance (Threshold = 0.5)
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  The table below shows the performance of the test model with a threshold of 0.5:
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- | Label | Accuracy | Precision | Recall | F1 | MCC | Support | Threshold |
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- | -------------- | -------- | --------- | ------ | ------ | ------- | ------- | --------- |
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- | admiration | 0.939 | 0.678 | 0.542 | 0.603 | 0.574 | 2790 | 0.5 |
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- | amusement | 0.970 | 0.760 | 0.693 | 0.725 | 0.710 | 1866 | 0.5 |
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- | anger | 0.964 | 0.471 | 0.210 | 0.291 | 0.299 | 1128 | 0.5 |
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- | annoyance | 0.944 | 0.383 | 0.100 | 0.158 | 0.175 | 1704 | 0.5 |
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- | approval | 0.934 | 0.472 | 0.176 | 0.256 | 0.260 | 2094 | 0.5 |
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- | caring | 0.973 | 0.424 | 0.246 | 0.312 | 0.310 | 816 | 0.5 |
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- | confusion | 0.964 | 0.399 | 0.310 | 0.349 | 0.333 | 1020 | 0.5 |
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- | curiosity | 0.945 | 0.480 | 0.375 | 0.421 | 0.396 | 1734 | 0.5 |
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- | desire | 0.985 | 0.420 | 0.394 | 0.406 | 0.399 | 414 | 0.5 |
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- | disappointment | 0.964 | 0.333 | 0.169 | 0.224 | 0.220 | 1014 | 0.5 |
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- | disapproval | 0.950 | 0.338 | 0.163 | 0.220 | 0.212 | 1398 | 0.5 |
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- | disgust | 0.979 | 0.390 | 0.252 | 0.306 | 0.303 | 600 | 0.5 |
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- | embarrassment | 0.992 | 0.430 | 0.333 | 0.376 | 0.375 | 240 | 0.5 |
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- | excitement | 0.976 | 0.324 | 0.237 | 0.274 | 0.265 | 624 | 0.5 |
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- | fear | 0.987 | 0.576 | 0.458 | 0.510 | 0.507 | 498 | 0.5 |
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- | gratitude | 0.988 | 0.905 | 0.903 | 0.904 | 0.898 | 2004 | 0.5 |
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- | grief | 0.999 | 0.294 | 0.139 | 0.189 | 0.202 | 36 | 0.5 |
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- | joy | 0.964 | 0.422 | 0.355 | 0.385 | 0.369 | 1032 | 0.5 |
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- | love | 0.972 | 0.771 | 0.714 | 0.741 | 0.727 | 1812 | 0.5 |
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- | nervousness | 0.995 | 0.351 | 0.275 | 0.308 | 0.308 | 120 | 0.5 |
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- | optimism | 0.971 | 0.566 | 0.416 | 0.480 | 0.471 | 1062 | 0.5 |
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- | pride | 0.997 | 0.432 | 0.226 | 0.297 | 0.311 | 84 | 0.5 |
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- | realization | 0.969 | 0.231 | 0.117 | 0.156 | 0.150 | 792 | 0.5 |
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- | relief | 0.994 | 0.143 | 0.065 | 0.090 | 0.094 | 138 | 0.5 |
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- | remorse | 0.987 | 0.603 | 0.562 | 0.582 | 0.576 | 516 | 0.5 |
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- | sadness | 0.969 | 0.531 | 0.424 | 0.471 | 0.458 | 1062 | 0.5 |
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- | surprise | 0.973 | 0.465 | 0.436 | 0.450 | 0.436 | 828 | 0.5 |
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- | neutral | 0.742 | 0.670 | 0.400 | 0.501 | 0.362 | 10524 | 0.5 |
 
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  The following table shows the performance metrics of the fine-tuned model on the test set, broken down by emotion category.
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  The table below shows the performance of the test model:
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+ ## Performance of Test Model (using class weight)
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+
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+ | Labels | accuracy | precision | recall | f1 | mcc | support | threshold |
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+ | :-------------- | :------- | :-------- | :----- | :---- | :---- | :------ | :-------- |
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+ | admiration | 0.933 | 0.598 | 0.668 | 0.631 | 0.596 | 2790 | 0.15 |
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+ | amusement | 0.967 | 0.682 | 0.793 | 0.733 | 0.718 | 1866 | 0.10 |
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+ | anger | 0.952 | 0.327 | 0.356 | 0.341 | 0.317 | 1128 | 0.15 |
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+ | annoyance | 0.908 | 0.223 | 0.301 | 0.256 | 0.211 | 1704 | 0.10 |
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+ | approval | 0.920 | 0.351 | 0.288 | 0.317 | 0.276 | 2094 | 0.15 |
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+ | caring | 0.970 | 0.381 | 0.303 | 0.337 | 0.325 | 816 | 0.20 |
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+ | confusion | 0.959 | 0.359 | 0.390 | 0.374 | 0.353 | 1020 | 0.25 |
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+ | curiosity | 0.933 | 0.405 | 0.552 | 0.467 | 0.438 | 1734 | 0.10 |
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+ | desire | 0.984 | 0.385 | 0.420 | 0.402 | 0.394 | 414 | 0.30 |
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+ | disappointment | 0.958 | 0.278 | 0.216 | 0.243 | 0.224 | 1014 | 0.40 |
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+ | disapproval | 0.920 | 0.221 | 0.343 | 0.269 | 0.235 | 1398 | 0.10 |
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+ | disgust | 0.972 | 0.302 | 0.383 | 0.338 | 0.326 | 600 | 0.15 |
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+ | embarrassment | 0.991 | 0.388 | 0.346 | 0.366 | 0.362 | 240 | 0.45 |
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+ | excitement | 0.968 | 0.248 | 0.333 | 0.285 | 0.272 | 624 | 0.10 |
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+ | fear | 0.985 | 0.501 | 0.526 | 0.513 | 0.506 | 498 | 0.20 |
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+ | gratitude | 0.988 | 0.913 | 0.894 | 0.903 | 0.897 | 2004 | 0.35 |
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+ | grief | 0.999 | 0.529 | 0.250 | 0.340 | 0.363 | 36 | 0.85 |
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+ | joy | 0.959 | 0.381 | 0.472 | 0.422 | 0.403 | 1032 | 0.15 |
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+ | love | 0.971 | 0.715 | 0.789 | 0.750 | 0.736 | 1812 | 0.25 |
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+ | nervousness | 0.996 | 0.430 | 0.283 | 0.342 | 0.347 | 120 | 0.70 |
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+ | optimism | 0.971 | 0.573 | 0.423 | 0.487 | 0.478 | 1062 | 0.45 |
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+ | pride | 0.997 | 0.468 | 0.262 | 0.336 | 0.349 | 84 | 0.25 |
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+ | realization | 0.967 | 0.220 | 0.146 | 0.176 | 0.163 | 792 | 0.25 |
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+ | relief | 0.993 | 0.117 | 0.094 | 0.104 | 0.102 | 138 | 0.10 |
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+ | remorse | 0.987 | 0.586 | 0.638 | 0.611 | 0.605 | 516 | 0.20 |
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+ | sadness | 0.960 | 0.415 | 0.519 | 0.461 | 0.444 | 1062 | 0.15 |
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+ | surprise | 0.975 | 0.518 | 0.425 | 0.467 | 0.457 | 828 | 0.60 |
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+ | neutral | 0.733 | 0.582 | 0.621 | 0.601 | 0.401 | 10524 | 0.10 |
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  ### Test Model Performance (Threshold = 0.5)
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  The table below shows the performance of the test model with a threshold of 0.5:
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+ | Labels | accuracy | precision | recall | f1 | mcc | support | threshold |
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+ | :-------------- | :------- | :-------- | :----- | :---- | :---- | :------ | :-------- |
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+ | admiration | 0.939 | 0.673 | 0.570 | 0.617 | 0.587 | 2790 | 0.5 |
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+ | amusement | 0.967 | 0.735 | 0.666 | 0.699 | 0.682 | 1866 | 0.5 |
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+ | anger | 0.961 | 0.400 | 0.264 | 0.318 | 0.306 | 1128 | 0.5 |
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+ | annoyance | 0.940 | 0.328 | 0.137 | 0.194 | 0.185 | 1704 | 0.5 |
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+ | approval | 0.931 | 0.432 | 0.211 | 0.283 | 0.269 | 2094 | 0.5 |
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+ | caring | 0.973 | 0.431 | 0.246 | 0.314 | 0.313 | 816 | 0.5 |
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+ | confusion | 0.963 | 0.401 | 0.337 | 0.366 | 0.349 | 1020 | 0.5 |
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+ | curiosity | 0.944 | 0.463 | 0.361 | 0.406 | 0.380 | 1734 | 0.5 |
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+ | desire | 0.985 | 0.409 | 0.384 | 0.396 | 0.389 | 414 | 0.5 |
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+ | disappointment | 0.961 | 0.300 | 0.198 | 0.239 | 0.224 | 1014 | 0.5 |
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+ | disapproval | 0.945 | 0.293 | 0.195 | 0.234 | 0.212 | 1398 | 0.5 |
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+ | disgust | 0.978 | 0.376 | 0.267 | 0.312 | 0.306 | 600 | 0.5 |
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+ | embarrassment | 0.991 | 0.392 | 0.333 | 0.360 | 0.357 | 240 | 0.5 |
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+ | excitement | 0.977 | 0.348 | 0.204 | 0.257 | 0.255 | 624 | 0.5 |
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+ | fear | 0.986 | 0.547 | 0.468 | 0.504 | 0.499 | 498 | 0.5 |
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+ | gratitude | 0.988 | 0.925 | 0.879 | 0.902 | 0.896 | 2004 | 0.5 |
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+ | grief | 0.999 | 0.400 | 0.278 | 0.328 | 0.333 | 36 | 0.5 |
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+ | joy | 0.966 | 0.451 | 0.367 | 0.405 | 0.389 | 1032 | 0.5 |
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+ | love | 0.971 | 0.742 | 0.747 | 0.744 | 0.729 | 1812 | 0.5 |
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+ | nervousness | 0.996 | 0.382 | 0.283 | 0.325 | 0.327 | 120 | 0.5 |
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+ | optimism | 0.971 | 0.583 | 0.413 | 0.484 | 0.477 | 1062 | 0.5 |
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+ | pride | 0.997 | 0.500 | 0.190 | 0.276 | 0.308 | 84 | 0.5 |
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+ | realization | 0.971 | 0.270 | 0.124 | 0.170 | 0.169 | 792 | 0.5 |
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+ | relief | 0.995 | 0.125 | 0.029 | 0.047 | 0.058 | 138 | 0.5 |
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+ | remorse | 0.988 | 0.644 | 0.560 | 0.599 | 0.594 | 516 | 0.5 |
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+ | sadness | 0.968 | 0.512 | 0.408 | 0.454 | 0.441 | 1062 | 0.5 |
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+ | surprise | 0.974 | 0.492 | 0.430 | 0.459 | 0.447 | 828 | 0.5 |
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+ | neutral | 0.742 | 0.648 | 0.440 | 0.524 | 0.368 | 10524 | 0.5 |