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bert-tzh-med-classification
kaishih/bert-tzh-med-classification
bert-tzh-med-classification is a machine learning model from kaishih. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as gpl-3.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- gpl-3.0
- Model type
- bert
- Access
- Public
- Created
- Sep 4, 2024
- Updated
- Sep 4, 2024
- SHA
- 0042c87b
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. -->
results
This model is a fine-tuned version of ckiplab/bert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2556
- Accuracy: 0.9277
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3077 | 1.0 | 2528 | 0.2888 | 0.9102 |
| 0.2328 | 2.0 | 5056 | 0.2631 | 0.9207 |
| 0.143 | 3.0 | 7584 | 0.2556 | 0.9277 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- bert
- License
- gpl-3.0
- Created
- Sep 4, 2024
- Updated
- Sep 4, 2024