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EmCoder

Text Classification
Transformers
Safetensors
English
emcoder
feature-extraction
emotion-recognition
bayesian-deep-learning
mc-dropout
uncertainty-quantification
multi-label-classification
custom_code
Eval Results (legacy)
Model card Files
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@@ -30,13 +30,13 @@ model-index:
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  metrics:
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  - name: Macro F1
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  type: f1
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- value: 0.44
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  - name: Macro Precision
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  type: precision
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- value: 0.408
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  - name: Macro Recall
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  type: recall
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- value: 0.495
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  ---
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  # EmCoder
@@ -138,6 +138,11 @@ $$
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  **Using `thresholds.json` optimization for binarizing and filtering (uncertainty) predictions**
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  | | precision | recall | f1-score | support |
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  |:---------------|------------:|---------:|-----------:|----------:|
 
 
 
 
 
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  | admiration | 0.635 | 0.565 | 0.598 | 504 |
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  | amusement | 0.713 | 0.894 | 0.793 | 264 |
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  | anger | 0.367 | 0.525 | 0.432 | 198 |
@@ -166,10 +171,6 @@ $$
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  | sadness | 0.624 | 0.372 | 0.466 | 156 |
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  | surprise | 0.534 | 0.447 | 0.486 | 141 |
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  | neutral | 0.567 | 0.804 | 0.665 | 1787 |
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- | micro avg | 0.476 | 0.611 | 0.535 | 6329 |
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- | macro avg | 0.464 | 0.478 | 0.447 | 6329 |
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- | weighted avg | 0.511 | 0.611 | 0.542 | 6329 |
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- | samples avg | 0.524 | 0.637 | 0.55 | 6329 |
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  metrics:
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  - name: Macro F1
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  type: f1
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+ value: 0.447
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  - name: Macro Precision
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  type: precision
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+ value: 0.464
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  - name: Macro Recall
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  type: recall
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+ value: 0.478
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  ---
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  # EmCoder
 
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  **Using `thresholds.json` optimization for binarizing and filtering (uncertainty) predictions**
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  | | precision | recall | f1-score | support |
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  |:---------------|------------:|---------:|-----------:|----------:|
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+ | micro avg | 0.476 | 0.611 | 0.535 | 6329 |
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+ | macro avg | 0.464 | 0.478 | 0.447 | 6329 |
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+ | weighted avg | 0.511 | 0.611 | 0.542 | 6329 |
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+ | samples avg | 0.524 | 0.637 | 0.55 | 6329 |
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+ |----------------|-------------|----------|------------|-----------|
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  | admiration | 0.635 | 0.565 | 0.598 | 504 |
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  | amusement | 0.713 | 0.894 | 0.793 | 264 |
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  | anger | 0.367 | 0.525 | 0.432 | 198 |
 
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  | sadness | 0.624 | 0.372 | 0.466 | 156 |
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  | surprise | 0.534 | 0.447 | 0.486 | 141 |
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  | neutral | 0.567 | 0.804 | 0.665 | 1787 |
 
 
 
 
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