![philschmid's picture](https://cdn-avatars.huggingface.co/v1/production/uploads/1624629516652-5ff5d596f244529b3ec0fb89.png)
philschmid
HF staff
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#2)
dba384b
license: apache-2.0 | |
tags: | |
- token-classification | |
datasets: | |
- conll2003 | |
metrics: | |
- precision | |
- recall | |
- f1 | |
- accuracy | |
model-index: | |
- name: distilroberta-base-ner-conll2003 | |
results: | |
- task: | |
type: token-classification | |
name: Token Classification | |
dataset: | |
name: conll2003 | |
type: conll2003 | |
metrics: | |
- type: precision | |
value: 0.9492923423001218 | |
name: Precision | |
- type: recall | |
value: 0.9565545901020023 | |
name: Recall | |
- type: f1 | |
value: 0.9529096297690173 | |
name: F1 | |
- type: accuracy | |
value: 0.9883096560400111 | |
name: Accuracy | |
- task: | |
type: token-classification | |
name: Token Classification | |
dataset: | |
name: conll2003 | |
type: conll2003 | |
config: conll2003 | |
split: validation | |
metrics: | |
- type: accuracy | |
value: 0.9883249976987512 | |
name: Accuracy | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTEwNzFlMjk0ZDY4NTg2MGQxMDZkM2IyZjdjNDEwYmNiMWY1MWZiNzg1ZjMyZTlkYzQ0MmVmNTZkMjEyMGQ1YiIsInZlcnNpb24iOjF9.zxapWje7kbauQ5-VDNbY487JB5wkN4XqgaLwoX1cSmNfgpp-MPCjqrocxayb1kImbN8CvzOpU1aSfvRfyd5fAw | |
- type: precision | |
value: 0.9906910190038265 | |
name: Precision | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWRjMjYyOGQ2MGMwOGE1ODQyNDU1MzZiNWU4MGUzYWVlNjQ3NDhjZDRlZTE0NDlmMGJjZjliZjU2ZmFiZmZiYyIsInZlcnNpb24iOjF9.G_QY9mDkIkllmWPsgmUoVgs-R9XjfYkdJMS8hcyGM-7NXsbigUgZZnhfD0TjDak62UoEplqwSX5r0S4xKPdxBQ | |
- type: recall | |
value: 0.9916635820847483 | |
name: Recall | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODE0MDE5ZWMzNTM5MTA1NTI4YzNhNzI2NzVjODIzZWY0OWE2ODJiN2FiNmVkNGVkMTI2ODZiOGEwNTEzNzk2MCIsInZlcnNpb24iOjF9.zenVqRfs8TrKoiIu_QXQJtHyj3dEH97ZDLxUn_UJ2tdW36hpBflgKCJNBvFFkra7bS4cNRfIkwxxCUMWH1ptBg | |
- type: f1 | |
value: 0.9911770619696786 | |
name: F1 | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWZjY2NiNjZlNDFiODQ3M2JkOWJjNzRlY2FmNjMwNGFkNzFmNTBkOGQ5YTcyZjUzNjAwNDAxMThiNTE5ZThiNiIsInZlcnNpb24iOjF9.c9aD9hycCS-WBaLUb8NKzIpd2LE6xfJrhg3fL9_832RiMq5gcMs9qtarP3Jbo6WbPs_WThr_v4gn7K4Ti-0-CA | |
- type: loss | |
value: 0.05638007074594498 | |
name: loss | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGM3NTQ5ODBhMDcyNjBjMGUxMDgzYjI2NjEwNjM0MjU0MjEzMTRmODA2MjMwZWU1YTQ3OWU2YjUzNTliZTkwMSIsInZlcnNpb24iOjF9.03OwbxrdKm-vg6ia5CBYdEaSCuRbT0pLoEvwpd4NtjydVzo5wzS-pWgY6vH4PlI0ZCTBY0Po0IZSsJulWJttDg | |
<!-- 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-conll2003 | |
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the conll2003 dataset. | |
eval F1-Score: **95,29** (CoNLL-03) | |
test F1-Score: **90,74** (CoNLL-03) | |
eval F1-Score: **95,29** (CoNLL++ / CoNLL-03 corrected) | |
test F1-Score: **92,23** (CoNLL++ / CoNLL-03 corrected) | |
## Model Usage | |
```python | |
from transformers import AutoTokenizer, AutoModelForTokenClassification | |
from transformers import pipeline | |
tokenizer = AutoTokenizer.from_pretrained("philschmid/distilroberta-base-ner-conll2003") | |
model = AutoModelForTokenClassification.from_pretrained("philschmid/distilroberta-base-ner-conll2003") | |
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: 4.9902376275441704e-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: 6.0 | |
- mixed_precision_training: Native AMP | |
### Training results | |
#### CoNNL2003 | |
It achieves the following results on the evaluation set: | |
- Loss: 0.0583 | |
- Precision: 0.9493 | |
- Recall: 0.9566 | |
- F1: 0.9529 | |
- Accuracy: 0.9883 | |
It achieves the following results on the test set: | |
- Loss: 0.2025 | |
- Precision: 0.8999 | |
- Recall: 0.915 | |
- F1: 0.9074 | |
- Accuracy: 0.9741 | |
#### CoNNL++ / CoNLL2003 corrected | |
It achieves the following results on the evaluation set: | |
- Loss: 0.0567 | |
- Precision: 0.9493 | |
- Recall: 0.9566 | |
- F1: 0.9529 | |
- Accuracy: 0.9883 | |
It achieves the following results on the test set: | |
- Loss: 0.1359 | |
- Precision: 0.92 | |
- Recall: 0.9245 | |
- F1: 0.9223 | |
- Accuracy: 0.9785 | |
### Framework versions | |
- Transformers 4.6.1 | |
- Pytorch 1.8.1+cu101 | |
- Datasets 1.6.2 | |
- Tokenizers 0.10.2 | |