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bert-base-multilingual-uncased-finetuned-ner-generated
noor-raghib-12/bert-base-multilingual-uncased-finetuned-ner-generated
bert-base-multilingual-uncased-finetuned-ner-generated is a token classification model from noor-raghib-12. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jul 29, 2025
- Updated
- Jul 30, 2025
- SHA
- 0cf11438
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Base models
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-uncased-finetuned-ner-generated
This model is a fine-tuned version of google-bert/bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6112
- Precision: 0.6290
- Recall: 0.5107
- F1: 0.5637
- Accuracy: 0.8500
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: 50
- eval_batch_size: 50
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 353 | 0.7936 | 0.6247 | 0.3256 | 0.4281 | 0.8176 |
| 0.7425 | 2.0 | 706 | 0.6785 | 0.6438 | 0.4272 | 0.5136 | 0.8385 |
| 0.5796 | 3.0 | 1059 | 0.6290 | 0.6251 | 0.4863 | 0.5471 | 0.8450 |
| 0.5796 | 4.0 | 1412 | 0.6145 | 0.6367 | 0.5027 | 0.5618 | 0.8503 |
| 0.4924 | 5.0 | 1765 | 0.6112 | 0.6290 | 0.5107 | 0.5637 | 0.8500 |
Framework versions
- Transformers 4.54.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jul 29, 2025
- Updated
- Jul 30, 2025