lewtun HF staff commited on
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285afe8
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Add evaluation results on trec dataset

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Beep 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-7544860).\
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).

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  1. README.md +59 -3
README.md CHANGED
@@ -1,13 +1,69 @@
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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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  # bert-base-cased trained on TREC 6-class task
 
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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/bert-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: 0.974
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+ verified: true
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+ - name: Precision Macro
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+ type: precision
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+ value: 0.9793164100816639
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+ verified: true
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+ - name: Precision Micro
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+ type: precision
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+ value: 0.974
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+ verified: true
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+ - name: Precision Weighted
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+ type: precision
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+ value: 0.9746805065928548
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+ verified: true
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+ - name: Recall Macro
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+ type: recall
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+ value: 0.9783617516169679
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+ verified: true
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+ - name: Recall Micro
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+ type: recall
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+ value: 0.974
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+ verified: true
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+ - name: Recall Weighted
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+ type: recall
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+ value: 0.974
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+ verified: true
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+ - name: F1 Macro
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+ type: f1
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+ value: 0.9783635353409951
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+ verified: true
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+ - name: F1 Micro
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+ type: f1
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+ value: 0.974
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+ verified: true
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+ - name: F1 Weighted
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+ type: f1
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+ value: 0.97377371266232
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+ verified: true
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+ - name: loss
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+ type: loss
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+ value: 0.13812002539634705
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+ verified: true
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  ---
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  # bert-base-cased trained on TREC 6-class task