philschmid
HF staff
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#2)
35b43f5
| license: apache-2.0 | |
| tags: | |
| - token-classification | |
| datasets: | |
| - wikiann | |
| metrics: | |
| - precision | |
| - recall | |
| - f1 | |
| - accuracy | |
| model-index: | |
| - name: distilroberta-base-ner-wikiann | |
| results: | |
| - task: | |
| type: token-classification | |
| name: Token Classification | |
| dataset: | |
| name: wikiann | |
| type: wikiann | |
| metrics: | |
| - type: precision | |
| value: 0.8331921416757433 | |
| name: Precision | |
| - type: recall | |
| value: 0.84243586083126 | |
| name: Recall | |
| - type: f1 | |
| value: 0.8377885044416501 | |
| name: F1 | |
| - type: accuracy | |
| value: 0.91930707459758 | |
| name: Accuracy | |
| - task: | |
| type: token-classification | |
| name: Token Classification | |
| dataset: | |
| name: wikiann | |
| type: wikiann | |
| config: en | |
| split: test | |
| metrics: | |
| - type: accuracy | |
| value: 0.9200373733433721 | |
| name: Accuracy | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGFmMTNkZDYwMDllNjE5ZTVjYzYwYTQyMDFjYzNkYTkxZmVmOTNkOTFlOTU4MmM2MmFlMWQzMTcwZGViOTA3ZCIsInZlcnNpb24iOjF9.pOwPcBmA7XJdq9QgCNoCivTsu0WfsCnvRtzObDrqhFtrO2PjLNf9tmlQeahGcBGFo6yIHvhndBYwf__lN-4nBg | |
| - type: precision | |
| value: 0.9258482820953792 | |
| name: Precision | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzFhNGJlMzk0N2JmYmU3YjAxZjJjNGFjZjZjOTJhODc3MjQyODMzYzE2Y2Y4NWQ4YThhMjg3NWI1MGRmODczMiIsInZlcnNpb24iOjF9.eVTQJqXeGY0XZaGURXBrT8sjMl7O_SxuFB4NS7C6jbpr46MMZdusvzkmndOIrGjReB2vB3sAmpcT0hydpqRkDg | |
| - type: recall | |
| value: 0.9347545055892119 | |
| name: Recall | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2Y5ZGIzM2JlOWNjZGUzOWU5MGIwOTFiODM4NmU3NGQ3ZmUxYzM4ZmYxNjIwOTE0ZWFiYWJhMzk4NDg4ZjI3MSIsInZlcnNpb24iOjF9.tzl3gTEDFuj7kpGsERkQzXfh7B0Qwao31VcXKF1rSvf3ulVgXsU-vTB2oZiGr3w5AySr_80J0pIpSpvGzfhNAQ | |
| - type: f1 | |
| value: 0.9302800779500893 | |
| name: F1 | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjY5MDM2ZWQ1MzJmNDFhMGFmZmQ1MzM0NmJmOTVmYTM1OWZmNzc4YWI4ZWUwMTFlMTQ5MTJmYWRhNmVmZTUyZCIsInZlcnNpb24iOjF9.zMUq4ZGLfu0eQF7lHNkaf6LByypIevygVGLpBA3jW80OUy5VeZDK7d6q0RV_N4SO5gTkLEjoDvSqLDcaw-9VBw | |
| - type: loss | |
| value: 0.3007512390613556 | |
| name: loss | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzI5YmIxODFkN2NkYzJkZDgyZTc4MDhlMDkyMzM3NWFiZWQ1MmUzMDA1MGYyM2RlNzVlNTIwNDcwNTFmNjYwMSIsInZlcnNpb24iOjF9.D8vx5YhoNHY4CdRXEt3rL95odR2kZJ1e_c34HD28xX9YeWKIjjt4E0FSz6Xw4ufJd9UlCnQ_u4VPFTYI-RXlCQ | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # distilroberta-base-ner-wikiann | |
| This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the wikiann dataset. | |
| eval F1-Score: **83,78** | |
| test F1-Score: **83,76** | |
| ## Model Usage | |
| ```python | |
| from transformers import AutoTokenizer, AutoModelForTokenClassification | |
| from transformers import pipeline | |
| tokenizer = AutoTokenizer.from_pretrained("philschmid/distilroberta-base-ner-wikiann") | |
| model = AutoModelForTokenClassification.from_pretrained("philschmid/distilroberta-base-ner-wikiann") | |
| nlp = pipeline("ner", model=model, tokenizer=tokenizer, grouped_entities=True) | |
| example = "My name is Philipp and live in Germany" | |
| nlp(example) | |
| ``` | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 4.9086903597787154e-05 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5.0 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.3156 | |
| - Precision: 0.8332 | |
| - Recall: 0.8424 | |
| - F1: 0.8378 | |
| - Accuracy: 0.9193 | |
| It achieves the following results on the test set: | |
| - Loss: 0.3023 | |
| - Precision: 0.8301 | |
| - Recall: 0.8452 | |
| - F1: 0.8376 | |
| - Accuracy: 0.92 | |
| ### Framework versions | |
| - Transformers 4.6.1 | |
| - Pytorch 1.8.1+cu101 | |
| - Datasets 1.6.2 | |
| - Tokenizers 0.10.2 | |