Add evaluation results on the default config and test split of emotion
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the default config and test split of the [emotion](https://huggingface.co/datasets/emotion) dataset by
@lewtun
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-636a44ed-fa98-4717-b181-b742a86b03be-4846).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=emotion).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=emotion).
README.md
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- emotion
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metrics:
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- accuracy
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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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- emotion
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metrics:
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- accuracy
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model-index:
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- name: autoevaluate/multi-class-classification
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results:
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- task:
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type: image-classification
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name: Image 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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- type: accuracy
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value: 0.9185
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name: Accuracy
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verified: true
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDNlY2I5ZTZkOTBmMTQwMjA0ZTFhYzE4NTdiZGIzYmNiOTkyMjBjMDY0MDJhNGY4ZTBiMGJiZjdhNzk3ODFkZCIsInZlcnNpb24iOjF9.JQbXPplJfzTCXHZrnbQLcSKZJrxvqYQh-BlpYlVMsWL6SSAKAlCb7Srqeoxr6u7byLm7QtufHYUKda7b1dKECw
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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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