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bert-base-multilingual-cased-finetuned-klue-ner
kkoba/bert-base-multilingual-cased-finetuned-klue-ner
bert-base-multilingual-cased-finetuned-klue-ner is a token classification model from kkoba. 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
- gpt2
- Access
- Public
- Created
- May 7, 2023
- Updated
- May 7, 2023
- SHA
- 5ff25160
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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. -->
bert-base-multilingual-cased-finetuned-klue-ner
This model is a fine-tuned version of skt/kogpt2-base-v2 on the klue dataset. It achieves the following results on the evaluation set:
- Loss: 0.2576
- F1: 0.7508
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: 5e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2639 | 1.0 | 1313 | 0.2454 | 0.7213 |
| 0.1623 | 2.0 | 2626 | 0.2428 | 0.7449 |
| 0.1047 | 3.0 | 3939 | 0.2576 | 0.7508 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- gpt2
- License
- cc-by-nc-sa-4.0
- Created
- May 7, 2023
- Updated
- May 7, 2023