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VF_BERT_ST_1000
judithrosell/VF_BERT_ST_1000
VF_BERT_ST_1000 is a token classification model from judithrosell. 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
- Sep 5, 2024
- Updated
- Sep 5, 2024
- SHA
- f8b07b8a
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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. -->
VF_BERT_ST_1000
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1765
- Precision: 0.9705
- Recall: 0.9755
- F1: 0.9730
- Accuracy: 0.9636
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: 32
- 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 259 | 0.1575 | 0.9595 | 0.9658 | 0.9626 | 0.9503 |
| 0.2118 | 2.0 | 518 | 0.1388 | 0.9660 | 0.9743 | 0.9701 | 0.9597 |
| 0.2118 | 3.0 | 777 | 0.1366 | 0.9688 | 0.9734 | 0.9711 | 0.9613 |
| 0.0546 | 4.0 | 1036 | 0.1488 | 0.9673 | 0.9726 | 0.9699 | 0.9603 |
| 0.0546 | 5.0 | 1295 | 0.1663 | 0.9675 | 0.9736 | 0.9705 | 0.9609 |
| 0.0251 | 6.0 | 1554 | 0.1673 | 0.9685 | 0.9750 | 0.9717 | 0.9628 |
| 0.0251 | 7.0 | 1813 | 0.1708 | 0.9707 | 0.9753 | 0.9730 | 0.9639 |
| 0.0133 | 8.0 | 2072 | 0.1707 | 0.9701 | 0.9742 | 0.9721 | 0.9631 |
| 0.0133 | 9.0 | 2331 | 0.1771 | 0.9703 | 0.9754 | 0.9728 | 0.9635 |
| 0.0094 | 10.0 | 2590 | 0.1765 | 0.9705 | 0.9755 | 0.9730 | 0.9636 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 5, 2024
- Updated
- Sep 5, 2024