Add evaluation results on the plain_text config of sms_spam
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the plain_text config of the [sms_spam](https://huggingface.co/datasets/sms_spam) dataset by
@Al-Ip
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-sms_spam-216c1ded-12215630).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=sms_spam).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=sms_spam).
README.md
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@@ -19,6 +19,39 @@ model-index:
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- name: Accuracy
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type: accuracy
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value: 0.9928263988522238
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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: 0.9928263988522238
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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: sms_spam
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type: sms_spam
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config: plain_text
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split: train
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9919268030139935
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verified: true
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- name: Precision
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type: precision
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value: 0.9915966386554622
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verified: true
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- name: Recall
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type: recall
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value: 0.9477911646586346
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verified: true
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- name: AUC
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type: auc
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value: 0.9765156891636706
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verified: true
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- name: F1
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type: f1
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value: 0.9691991786447638
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verified: true
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- name: loss
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type: loss
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value: 0.06180405616760254
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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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