eval F1-Score:
95,39
(merged dataset)
test F1-Score:
90,75
(merged dataset)
Model Usage
from transformers import AutoTokenizer, AutoModelForTokenClassification
from transformers import pipeline
tokenizer = AutoTokenizer.from_pretrained("philschmid/distilroberta-base-ner-wikiann-conll2003-4-class")
model = AutoModelForTokenClassification.from_pretrained("philschmid/distilroberta-base-ner-wikiann-conll2003-4-class")
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: 0.0705
Precision: 0.9492
Recall: 0.9585
F1: 0.9539
Accuracy: 0.9882
It achieves the following results on the test set:
Loss: 0.239
Precision: 0.8984
Recall: 0.9168
F1: 0.9075
Accuracy: 0.9741
Framework versions
Transformers 4.6.1
Pytorch 1.8.1+cu101
Datasets 1.6.2
Tokenizers 0.10.2
Runs of philschmid distilroberta-base-ner-wikiann-conll2003-4-class on huggingface.co
13
Total runs
1
24-hour runs
1
3-day runs
1
7-day runs
6
30-day runs
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