Add evaluation results on trec dataset
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the [trec](https://huggingface.co/datasets/trec) dataset by
@lewtun
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-d05a5ffd-7544861).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=trec).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=trec).
README.md
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---
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language:
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- en
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thumbnail:
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tags:
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- text-classification
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license: mit
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datasets:
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- trec
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-
metrics:
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---
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# TREC 6-class Task: distilbert-base-cased
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---
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language:
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- en
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thumbnail: null
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tags:
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- text-classification
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license: mit
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datasets:
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- trec
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metrics: null
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model-index:
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- name: aychang/distilbert-base-cased-trec-coarse
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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: trec
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type: trec
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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: 0.97
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verified: true
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- name: Precision Macro
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type: precision
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value: 0.9742915631870833
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verified: true
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- name: Precision Micro
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type: precision
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value: 0.97
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verified: true
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- name: Precision Weighted
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type: precision
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value: 0.9699546283251607
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verified: true
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- name: Recall Macro
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type: recall
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value: 0.972626762268805
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verified: true
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- name: Recall Micro
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type: recall
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value: 0.97
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verified: true
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- name: Recall Weighted
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type: recall
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value: 0.97
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verified: true
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- name: F1 Macro
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type: f1
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value: 0.9729834427867218
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verified: true
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- name: F1 Micro
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type: f1
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value: 0.97
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verified: true
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- name: F1 Weighted
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type: f1
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value: 0.9694196751375908
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verified: true
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- name: loss
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type: loss
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value: 0.14272506535053253
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verified: true
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---
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# TREC 6-class Task: distilbert-base-cased
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