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Add evaluation results on emotion dataset (#2)
Browse files- Add evaluation results on emotion dataset (2620d5a3e5f9ce9842747754dd8353515f57926d)
Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>
README.md
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---
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-
language:
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- en
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thumbnail: https://avatars3.githubusercontent.com/u/32437151?s=460&u=4ec59abc8d21d5feea3dab323d23a5860e6996a4&v=4
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tags:
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- emotion
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metrics:
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- Accuracy, F1 Score
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---
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# Distilbert-base-uncased-emotion
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---
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+
language:
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- en
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thumbnail: https://avatars3.githubusercontent.com/u/32437151?s=460&u=4ec59abc8d21d5feea3dab323d23a5860e6996a4&v=4
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tags:
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- emotion
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metrics:
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- Accuracy, F1 Score
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model-index:
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- name: bhadresh-savani/distilbert-base-uncased-emotion
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results:
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- task:
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type: text-classification
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name: Text Classification
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dataset:
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name: emotion
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type: emotion
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config: default
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split: test
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.927
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verified: true
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- name: Precision Macro
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type: precision
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value: 0.8880230732280744
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verified: true
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- name: Precision Micro
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type: precision
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value: 0.927
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verified: true
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- name: Precision Weighted
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type: precision
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value: 0.9272902840835793
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verified: true
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- name: Recall Macro
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type: recall
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value: 0.8790126653780703
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verified: true
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- name: Recall Micro
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type: recall
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value: 0.927
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verified: true
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- name: Recall Weighted
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type: recall
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value: 0.927
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verified: true
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- name: F1 Macro
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type: f1
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value: 0.8825061528287809
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verified: true
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- name: F1 Micro
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type: f1
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value: 0.927
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verified: true
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- name: F1 Weighted
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type: f1
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value: 0.926876082854655
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verified: true
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- name: loss
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type: loss
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value: 0.17403268814086914
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verified: true
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---
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# Distilbert-base-uncased-emotion
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