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NER-CoNLL2003-V2
Xiaoman/NER-CoNLL2003-V2
NER-CoNLL2003-V2 is a token classification model from Xiaoman. Use it when you need labels on individual words, such as names. It is set up for transformers.
Training hyperparameters The following hyperparameters were used during training:
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 13, 2022
- Updated
- May 14, 2022
- SHA
- 402ca1da
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Model card
From the Hugging Face model README
Training hyperparameters The following hyperparameters were used during training:
learning_rate: 7.961395091713594e-05 train_batch_size: 32 eval_batch_size: 32 seed: 27 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 lr_scheduler_type: linear num_epochs: 5
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Created
- May 13, 2022
- Updated
- May 14, 2022