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expanded-multilingual-ner
gamzenurmadan/expanded-multilingual-ner
expanded-multilingual-ner is a token classification model from gamzenurmadan. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-nc-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-nc-sa-4.0
- Model type
- bert
- Access
- Public
- Created
- Apr 27, 2023
- Updated
- Apr 27, 2023
- SHA
- 6144c4fe
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Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
expanded-multilingual-ner
This model is a fine-tuned version of Babelscape/wikineural-multilingual-ner on the wikiann dataset. It achieves the following results on the evaluation set:
- Loss: 0.1088
- Precision: 0.9140
- Recall: 0.9201
- F1: 0.9170
- Accuracy: 0.9696
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-nc-sa-4.0
- Created
- Apr 27, 2023
- Updated
- Apr 27, 2023