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wikineural-multilingual-ner-ner
Minjullle/wikineural-multilingual-ner-ner
wikineural-multilingual-ner-ner is a token classification model from Minjullle. 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
- May 8, 2023
- Updated
- May 8, 2023
- SHA
- 49155dd5
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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-ner
This model is a fine-tuned version of Babelscape/wikineural-multilingual-ner on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0333
- Precision: 0.9718
- Recall: 0.9761
- F1: 0.9739
- Accuracy: 0.9937
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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1605 | 1.0 | 477 | 0.0787 | 0.8892 | 0.9112 | 0.9001 | 0.9758 |
| 0.0816 | 2.0 | 954 | 0.0583 | 0.9188 | 0.9324 | 0.9256 | 0.9821 |
| 0.0533 | 3.0 | 1431 | 0.0474 | 0.9374 | 0.9494 | 0.9434 | 0.9865 |
| 0.0367 | 4.0 | 1908 | 0.0384 | 0.9555 | 0.9628 | 0.9591 | 0.9899 |
| 0.0272 | 5.0 | 2385 | 0.0363 | 0.9633 | 0.9667 | 0.9650 | 0.9910 |
| 0.0193 | 6.0 | 2862 | 0.0348 | 0.9664 | 0.9710 | 0.9687 | 0.9927 |
| 0.0142 | 7.0 | 3339 | 0.0328 | 0.9710 | 0.9746 | 0.9728 | 0.9931 |
| 0.0088 | 8.0 | 3816 | 0.0325 | 0.9731 | 0.9761 | 0.9746 | 0.9937 |
| 0.0069 | 9.0 | 4293 | 0.0332 | 0.9728 | 0.9766 | 0.9747 | 0.9939 |
| 0.0051 | 10.0 | 4770 | 0.0333 | 0.9718 | 0.9761 | 0.9739 | 0.9937 |
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
- bert
- License
- cc-by-nc-sa-4.0
- Languages
- mn
- Created
- May 8, 2023
- Updated
- May 8, 2023