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Add evaluation results on conll2003 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 [conll2003](https://huggingface.co/datasets/conll2003) dataset by

@douwekiela

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-29af5371-7254762).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=conll2003).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=conll2003).

Files changed (1) hide show
  1. README.md +32 -0
README.md CHANGED
@@ -3,6 +3,38 @@ language: en
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  license: apache-2.0
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  datasets:
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  - conll2003
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  [DistilBERT base uncased](https://huggingface.co/distilbert-base-uncased), fine-tuned for NER using the [conll03 english dataset](https://huggingface.co/datasets/conll2003). Note that this model is **not** sensitive to capital letters — "english" is the same as "English". For the case sensitive version, please use [elastic/distilbert-base-cased-finetuned-conll03-english](https://huggingface.co/elastic/distilbert-base-cased-finetuned-conll03-english).
 
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  license: apache-2.0
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  datasets:
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  - conll2003
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+ model-index:
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+ - name: elastic/distilbert-base-uncased-finetuned-conll03-english
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+ results:
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+ - task:
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+ type: token-classification
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+ name: Token Classification
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+ dataset:
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+ name: conll2003
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+ type: conll2003
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+ config: conll2003
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+ split: validation
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.9854480753649896
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+ verified: true
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+ - name: Precision
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+ type: precision
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+ value: 0.9880928983228512
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+ verified: true
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+ - name: Recall
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+ type: recall
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+ value: 0.9895677847945542
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+ verified: true
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+ - name: F1
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+ type: f1
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+ value: 0.9888297915932504
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+ verified: true
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+ - name: loss
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+ type: loss
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+ value: 0.06707527488470078
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+ verified: true
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  ---
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  [DistilBERT base uncased](https://huggingface.co/distilbert-base-uncased), fine-tuned for NER using the [conll03 english dataset](https://huggingface.co/datasets/conll2003). Note that this model is **not** sensitive to capital letters — "english" is the same as "English". For the case sensitive version, please use [elastic/distilbert-base-cased-finetuned-conll03-english](https://huggingface.co/elastic/distilbert-base-cased-finetuned-conll03-english).