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bert-finetuned-deid
linbin1973/bert-finetuned-deid
bert-finetuned-deid is a token classification model from linbin1973. 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
- Aug 25, 2024
- Updated
- Oct 15, 2024
- SHA
- 87d1e419
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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-deid
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: 0.0260
- Precision: 0.9596
- Recall: 0.9618
- F1: 0.9607
- Accuracy: 0.9966
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 430 | 0.0263 | 0.9360 | 0.9640 | 0.9498 | 0.9957 |
| 0.0027 | 2.0 | 860 | 0.0252 | 0.9606 | 0.9601 | 0.9604 | 0.9967 |
| 0.0014 | 3.0 | 1290 | 0.0260 | 0.9596 | 0.9618 | 0.9607 | 0.9966 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.20.0
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Aug 25, 2024
- Updated
- Oct 15, 2024