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README.md
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- bert
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- go_emotions
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- emotion-classification
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datasets:
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- google-research-datasets/go_emotions
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metrics:
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- f1
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- precision
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- recall
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widget:
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- text: I’m just chilling today.
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example_title: Neutral Example
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base_model:
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- google-bert/bert-base-uncased
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model-index:
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---
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# GoEmotions BERT Classifier
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@@ -232,9 +235,6 @@ The following table shows per-class metrics on the test set using optimized thre
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#### Class-Wise F1 Scores
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#### Confusion Matrix Heatmap
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-

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#### Training Curves
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- bert
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- go_emotions
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- emotion-classification
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- sentiment-analysis
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datasets:
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- google-research-datasets/go_emotions
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metrics:
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- f1
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- precision
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- recall
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- accuracy
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widget:
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- text: I’m just chilling today.
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example_title: Neutral Example
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base_model:
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- google-bert/bert-base-uncased
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model-index:
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- name: GoEmotions BERT Classifier
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results:
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- task:
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type: multi-label-classification
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dataset:
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name: GoEmotions
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type: google-research-datasets/go_emotions
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metrics:
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- name: Micro F1 (Optimized Thresholds)
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type: micro-f1
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value: 0.6006
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- name: Macro F1
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type: macro-f1
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value: 0.539
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- name: Precision
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type: precision
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value: 0.5371
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- name: Recall
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type: recall
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value: 0.6812
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- name: Hamming Loss
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type: hamming-loss
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value: 0.0377
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- name: Avg Positive Predictions
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type: avg-positive-predictions
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value: 1.4789
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- task:
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type: multi-label-classification
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dataset:
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name: GoEmotions
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type: google-research-datasets/go_emotions
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metrics:
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- name: F1 (admiration)
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type: f1
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value: 0.6987
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- name: F1 (amusement)
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type: f1
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value: 0.8071
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- name: F1 (anger)
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type: f1
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value: 0.503
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- name: F1 (annoyance)
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type: f1
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value: 0.3892
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- name: F1 (approval)
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type: f1
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value: 0.3915
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- name: F1 (caring)
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type: f1
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value: 0.4473
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- name: F1 (confusion)
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type: f1
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value: 0.4714
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- name: F1 (curiosity)
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type: f1
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value: 0.5781
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- name: F1 (desire)
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type: f1
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value: 0.5229
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- name: F1 (disappointment)
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type: f1
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value: 0.3333
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- name: F1 (disapproval)
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type: f1
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value: 0.4323
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- name: F1 (disgust)
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type: f1
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value: 0.4926
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- name: F1 (embarrassment)
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type: f1
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value: 0.4912
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- name: F1 (excitement)
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type: f1
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value: 0.4571
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- name: F1 (fear)
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type: f1
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value: 0.586
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- name: F1 (gratitude)
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type: f1
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value: 0.9102
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- name: F1 (grief)
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type: f1
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value: 0.3333
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- name: F1 (joy)
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type: f1
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value: 0.6135
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- name: F1 (love)
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type: f1
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value: 0.8065
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- name: F1 (nervousness)
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type: f1
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value: 0.4348
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- name: F1 (optimism)
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type: f1
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value: 0.5564
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- name: F1 (pride)
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type: f1
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value: 0.5217
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- name: F1 (realization)
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type: f1
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value: 0.2513
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- name: F1 (relief)
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type: f1
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value: 0.5833
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- name: F1 (remorse)
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type: f1
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value: 0.68
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- name: F1 (sadness)
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type: f1
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value: 0.557
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- name: F1 (surprise)
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type: f1
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value: 0.5562
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- name: F1 (neutral)
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type: f1
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value: 0.6867
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source:
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name: Kaggle Evaluation Notebook
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url: >-
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https://www.kaggle.com/code/ravindranlogasanjeev/evaluation-logasanjeev-goemotions-bert/notebook
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---
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# GoEmotions BERT Classifier
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#### Class-Wise F1 Scores
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#### Training Curves
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