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isot-bert-finetuned
chiabingxuan/isot-bert-finetuned
isot-bert-finetuned is a text classification model from chiabingxuan. Use it when you need a label for a piece of text. 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
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Oct 4, 2025
- Updated
- Oct 4, 2025
- SHA
- e9b2c638
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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. -->
isot-bert-finetuned
This model is a fine-tuned version of google-bert/bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0273
- Accuracy: 0.9940
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training duration: 2726.5206 seconds
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1079 | 0.5 | 250 | 0.0246 | 0.9930 |
| 0.0398 | 1.0 | 500 | 0.0338 | 0.9940 |
| 0.0151 | 1.5 | 750 | 0.0468 | 0.9910 |
| 0.0168 | 2.0 | 1000 | 0.0510 | 0.9900 |
| 0.0067 | 2.5 | 1250 | 0.0215 | 0.9940 |
| 0.0027 | 3.0 | 1500 | 0.0268 | 0.9940 |
| 0.0 | 3.5 | 1750 | 0.0267 | 0.9940 |
| 0.0 | 4.0 | 2000 | 0.0262 | 0.9940 |
| 0.0 | 4.5 | 2250 | 0.0275 | 0.9940 |
| 0.0 | 5.0 | 2500 | 0.0273 | 0.9940 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Oct 4, 2025
- Updated
- Oct 4, 2025