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--- |
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language: en |
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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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- type: accuracy |
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value: 0.9854480753649896 |
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name: Accuracy |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmM0NzNhYTM2NGU0YjMwZDMwYTdhYjY3MDgwMTYxNWRjYzQ1NmE0OGEwOTcxMGY5ZTU1ZTQ3OTM5OGZkYjE2NCIsInZlcnNpb24iOjF9.v8Mk62C40vRWQ78BSCtGyphKKHd6q-Ir6sVbSjNjG37j9oiuQN3CDmk9XItmjvCwyKwMEr2NqUXaSyIfUSpBDg |
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- type: precision |
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value: 0.9880928983228512 |
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name: Precision |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWIzYTg2OTFjY2FkNWY4MzUyN2ZjOGFlYWNhODYzODVhYjQwZTQ3YzdhMzMxY2I4N2U0YWI1YWVlYjIxMDdkNCIsInZlcnNpb24iOjF9.A50vF5qWgZjxABjL9tc0vssFxYHYhBQ__hLXcvuoZoK8c2TyuODHcM0LqGLeRJF8kcPaLx1hcNk3QMdOETVQBA |
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- type: recall |
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value: 0.9895677847945542 |
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name: Recall |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzBiZDg1YmM2NzFkNjQ3MzUzN2QzZDAwNzUwMmM3MzU1ODBlZWJjYmI1YzIxM2YxMzMzNDUxYjkyYzQzMDQ3ZSIsInZlcnNpb24iOjF9.aZEC0c93WWn3YoPkjhe2W1-OND9U2qWzesL9zioNuhstbj7ftANERs9dUAaJIlNCb7NS28q3x9c2s6wGLwovCw |
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- type: f1 |
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value: 0.9888297915932504 |
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name: F1 |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmNkNzVhODJjMjExOTg4ZjQwMWM4NGIxZGNiZTZlMDk5MzNmMjIwM2ZiNzdiZGIxYmNmNmJjMGVkYTlkN2FlNiIsInZlcnNpb24iOjF9.b6qmLHkHu-z5V1wC2yQMyIcdeReptK7iycIMyGOchVy6WyG4flNbxa5f2W05INdnJwX-PHavB_yaY0oULdKWDQ |
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- type: loss |
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value: 0.06707527488470078 |
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name: loss |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDRlMWE2OTQxNWI5MjY0NzJjNjJkYjg1OWE1MjE2MjI4N2YzOWFhMDI3OTE0ZmFhM2M0ZWU0NTUxNTBiYjhiZiIsInZlcnNpb24iOjF9.6JhhyfhXxi76GRLUNqekU_SRVsV-9Hwpm2iOD_OJusPZTIrEUCmLdIWtb9abVNWNzMNOmA4TkRLqLVca0o0HAw |
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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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## Versions |
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- Transformers version: 4.3.1 |
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- Datasets version: 1.3.0 |
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## Training |
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``` |
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$ run_ner.py \ |
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--model_name_or_path distilbert-base-uncased \ |
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--label_all_tokens True \ |
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--return_entity_level_metrics True \ |
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--dataset_name conll2003 \ |
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--output_dir /tmp/distilbert-base-uncased-finetuned-conll03-english \ |
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--do_train \ |
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--do_eval |
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``` |
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After training, we update the labels to match the NER specific labels from the |
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dataset [conll2003](https://raw.githubusercontent.com/huggingface/datasets/1.3.0/datasets/conll2003/dataset_infos.json) |
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