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bert-base-multilingual-cased-ner-silvanus
rollerhafeezh/bert-base-multilingual-cased-ner-silvanus
bert-base-multilingual-cased-ner-silvanus is a token classification model from rollerhafeezh. 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
- Nov 15, 2023
- Updated
- Jun 28, 2024
- SHA
- 157da014
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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-cased-ner-silvanus
This model is a fine-tuned version of bert-base-multilingual-cased on the id_nergrit_corpus dataset. It achieves the following results on the evaluation set:
- Loss: 0.0621
- Precision: 0.9069
- Recall: 0.9202
- F1: 0.9135
- Accuracy: 0.9852
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: 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1336 | 1.0 | 827 | 0.0551 | 0.9034 | 0.9130 | 0.9082 | 0.9844 |
| 0.0461 | 2.0 | 1654 | 0.0604 | 0.9098 | 0.9134 | 0.9116 | 0.9842 |
| 0.0299 | 3.0 | 2481 | 0.0621 | 0.9069 | 0.9202 | 0.9135 | 0.9852 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- id, en, es, it, sk
- Created
- Nov 15, 2023
- Updated
- Jun 28, 2024