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voiceassistant-intent-bert-lora
yuashi/voiceassistant-intent-bert-lora
voiceassistant-intent-bert-lora is a machine learning model from yuashi. 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
- Aug 16, 2026
- Updated
- Aug 16, 2026
- SHA
- b6f62931
Base models
Datasets
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. -->
voiceassistant-intent-bert-lora
This model is a fine-tuned version of bert-base-cased on clinc_oos dataset. It achieves the following results on the evaluation set:
- Loss: 0.4182
- Accuracy: 0.9081
- F1 Macro: 0.9130
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: 0.0003
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| No log | 1.0 | 477 | 2.4694 | 0.4748 | 0.4208 |
| 3.7133 | 2.0 | 954 | 1.3183 | 0.7181 | 0.7047 |
| 1.7805 | 3.0 | 1431 | 0.8659 | 0.8052 | 0.8030 |
| 1.0098 | 4.0 | 1908 | 0.6768 | 0.8461 | 0.8478 |
| 0.6774 | 5.0 | 2385 | 0.5619 | 0.8726 | 0.8758 |
| 0.5035 | 6.0 | 2862 | 0.4999 | 0.8881 | 0.8908 |
| 0.3952 | 7.0 | 3339 | 0.4620 | 0.8955 | 0.9007 |
| 0.3162 | 8.0 | 3816 | 0.4396 | 0.9006 | 0.9056 |
| 0.2796 | 9.0 | 4293 | 0.4250 | 0.9087 | 0.9134 |
| 0.261 | 10.0 | 4770 | 0.4182 | 0.9081 | 0.9130 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.13.0+cu126
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Aug 16, 2026
- Updated
- Aug 16, 2026