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This model is trained for GoEmotions dataset which contains labeled 58k Reddit comments with 28 emotions

  • admiration, amusement, anger, annoyance, approval, caring, confusion, curiosity, desire, disappointment, disapproval, disgust, embarrassment, excitement, fear, gratitude, grief, joy, love, nervousness, optimism, pride, realization, relief, remorse, sadness, surprise + neutral

Training details:

  • The training script is provided here: https://github.com/bsinghpratap/roberta_train_goEmotion
  • Please feel free to start an issue in the repo if you have trouble running the model and I would try to respond as soon as possible.
  • The model works well on most of the emotions except: 'desire', 'disgust', 'embarrassment', 'excitement', 'fear', 'grief', 'nervousness', 'pride', 'relief', 'remorse', 'surprise']
  • I'll try to fine-tune the model further and update here if RoBERTa achieves a better performance.
  • Each text datapoint can have more than 1 label. Most of the training set had 1 label: Counter({1: 36308, 2: 6541, 3: 532, 4: 28, 5: 1}). So currently I just used the first label for each of the datapoint. Not ideal but it does a decent job.

Model Performance

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Emotion: admiration
============================================================
GoEmotions Paper: 0.65
RoBERTa: 0.62
Support: 504
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Emotion: amusement
============================================================
GoEmotions Paper: 0.80
RoBERTa: 0.78
Support: 252
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Emotion: anger
============================================================
GoEmotions Paper: 0.47
RoBERTa: 0.44
Support: 197
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Emotion: annoyance
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GoEmotions Paper: 0.34
RoBERTa: 0.22
Support: 286
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Emotion: approval
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GoEmotions Paper: 0.36
RoBERTa: 0.31
Support: 318
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Emotion: caring
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GoEmotions Paper: 0.39
RoBERTa: 0.24
Support: 114
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Emotion: confusion
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GoEmotions Paper: 0.37
RoBERTa: 0.29
Support: 139
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Emotion: curiosity
============================================================
GoEmotions Paper: 0.54
RoBERTa: 0.48
Support: 233
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Emotion: disappointment
============================================================
GoEmotions Paper: 0.28
RoBERTa: 0.18
Support: 127
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Emotion: disapproval
============================================================
GoEmotions Paper: 0.39
RoBERTa: 0.26
Support: 220
============================================================
Emotion: gratitude
============================================================
GoEmotions Paper: 0.86
RoBERTa: 0.84
Support: 288
============================================================
Emotion: joy
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GoEmotions Paper: 0.51
RoBERTa: 0.47
Support: 116
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Emotion: love
============================================================
GoEmotions Paper: 0.78
RoBERTa: 0.68
Support: 169
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Emotion: neutral
============================================================
GoEmotions Paper: 0.68
RoBERTa: 0.61
Support: 1606
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Emotion: optimism
============================================================
GoEmotions Paper: 0.51
RoBERTa: 0.52
Support: 120
============================================================
Emotion: realization
============================================================
GoEmotions Paper: 0.21
RoBERTa: 0.15
Support: 109
============================================================
Emotion: sadness
============================================================
GoEmotions Paper: 0.49
RoBERTa: 0.42
Support: 108

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Dataset used to train bsingh/roberta_goEmotion