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bert-finetuned-ner
baltilucas/bert-finetuned-ner
bert-finetuned-ner is a token classification model from baltilucas. 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
- Oct 17, 2024
- Updated
- Oct 28, 2024
- SHA
- b1d6fd39
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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-finetuned-ner
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2962
- Precision: 0.4571
- Recall: 0.4646
- F1: 0.4608
- Accuracy: 0.8910
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 202 | 0.2687 | 0.4002 | 0.3466 | 0.3714 | 0.8816 |
| No log | 2.0 | 404 | 0.2490 | 0.4673 | 0.3992 | 0.4306 | 0.8957 |
| 0.2638 | 3.0 | 606 | 0.2730 | 0.4310 | 0.4418 | 0.4364 | 0.8852 |
| 0.2638 | 4.0 | 808 | 0.2808 | 0.4155 | 0.4637 | 0.4383 | 0.8823 |
| 0.1839 | 5.0 | 1010 | 0.3016 | 0.4285 | 0.4701 | 0.4483 | 0.8844 |
| 0.1839 | 6.0 | 1212 | 0.2962 | 0.4571 | 0.4646 | 0.4608 | 0.8910 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Oct 17, 2024
- Updated
- Oct 28, 2024