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wikineural-multilingual-ner
TiffanyTiffany/wikineural-multilingual-ner
wikineural-multilingual-ner is a token classification model from TiffanyTiffany. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Aug 28, 2023
- Updated
- Aug 29, 2023
- SHA
- 9560a897
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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. -->
wikineural-multilingual-ner
This model was trained from scratch on the wnut_17 dataset.
Model description
The purpose of this model is to practice Hugging Face Tutorial (Token Classification). Please find the original source here:https://huggingface.co/learn/nlp-course/chapter7/2?fw=pt#a-custom-training-loop I used wikineural-multilingual-ner and wnut_17 dataset.(https://huggingface.co/Babelscape/wikineural-multilingual-ner), (https://huggingface.co/datasets/wnut_17)
Intended uses & limitations
More information needed
Training and evaluation data
wnut_17 dataset.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Created
- Aug 28, 2023
- Updated
- Aug 29, 2023