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mbert-fine-tune-ner_fr
gupta99riya/mbert-fine-tune-ner_fr
mbert-fine-tune-ner_fr is a token classification model from gupta99riya. 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
- Feb 8, 2023
- Updated
- Feb 8, 2023
- SHA
- 40b29313
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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. -->
mbert-fine-tune-ner_fr
This model is a fine-tuned version of bert-base-multilingual-cased on the wikiann dataset. It achieves the following results on the evaluation set:
- Loss: 0.1887
- Precision: 0.9000
- Recall: 0.9078
- F1: 0.9038
- Accuracy: 0.9491
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2929 | 1.0 | 1250 | 0.2028 | 0.8782 | 0.8938 | 0.8860 | 0.9417 |
| 0.1355 | 2.0 | 2500 | 0.1887 | 0.9000 | 0.9078 | 0.9038 | 0.9491 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Feb 8, 2023
- Updated
- Feb 8, 2023