Add evaluation results on ag_news dataset
#1
by
autoevaluator
HF staff
- opened
README.md
CHANGED
@@ -19,6 +19,62 @@ model_index:
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name: Accuracy
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type: accuracy
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value: 0.9473684210526315
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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name: Accuracy
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type: accuracy
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value: 0.9473684210526315
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model-index:
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- name: andi611/distilbert-base-uncased-ner-agnews
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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: ag_news
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type: ag_news
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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: 0.9473684210526315
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verified: true
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- name: Precision Macro
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type: precision
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value: 0.9475794769963632
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verified: true
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- name: Precision Micro
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type: precision
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value: 0.9473684210526315
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verified: true
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- name: Precision Weighted
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type: precision
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value: 0.9475794769963634
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verified: true
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- name: Recall Macro
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type: recall
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value: 0.9473684210526315
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verified: true
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- name: Recall Micro
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type: recall
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value: 0.9473684210526315
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verified: true
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- name: Recall Weighted
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type: recall
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value: 0.9473684210526315
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verified: true
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- name: F1 Macro
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type: f1
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value: 0.9473486723357012
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verified: true
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- name: F1 Micro
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type: f1
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value: 0.9473684210526315
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verified: true
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- name: F1 Weighted
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type: f1
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value: 0.9473486723357011
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verified: true
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- name: loss
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type: loss
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value: 0.16519339382648468
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verified: true
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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