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isot-bert-finetuned-lora
chiabingxuan/isot-bert-finetuned-lora
isot-bert-finetuned-lora is a machine learning model from chiabingxuan. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. 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
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Oct 4, 2025
- Updated
- Oct 4, 2025
- SHA
- c6135f07
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-lora
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: 0.0131
- Accuracy: 0.9970
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: 2221.8556 seconds
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3538 | 0.5 | 250 | 0.0878 | 0.9690 |
| 0.0905 | 1.0 | 500 | 0.0471 | 0.9840 |
| 0.0641 | 1.5 | 750 | 0.0310 | 0.9900 |
| 0.0541 | 2.0 | 1000 | 0.0269 | 0.9920 |
| 0.0409 | 2.5 | 1250 | 0.0317 | 0.9890 |
| 0.0392 | 3.0 | 1500 | 0.0188 | 0.9930 |
| 0.0291 | 3.5 | 1750 | 0.0210 | 0.9930 |
| 0.0335 | 4.0 | 2000 | 0.0120 | 0.9970 |
| 0.0281 | 4.5 | 2250 | 0.0170 | 0.9930 |
| 0.0258 | 5.0 | 2500 | 0.0131 | 0.9970 |
Framework versions
- PEFT 0.15.2
- Transformers 4.57.0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.22.1
- Library
- peft
- License
- apache-2.0
- Created
- Oct 4, 2025
- Updated
- Oct 4, 2025