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Qwen3-4B-banking77-lora
AzadDjan/Qwen3-4B-banking77-lora
Qwen3-4B-banking77-lora is a machine learning model from AzadDjan. 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
- Sep 17, 2026
- Updated
- Sep 17, 2026
- SHA
- 190ab3b7
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. -->
Qwen3-4B-banking77-lora
This model is a fine-tuned version of Qwen/Qwen3-4B-Base on the banking77 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3921
- Accuracy: 0.9341
- Precision: 0.9394
- Recall: 0.9328
- F1: 0.9338
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.7750 | 1.0 | 282 | 0.3848 | 0.8911 | 0.9065 | 0.8951 | 0.8907 |
| 0.4032 | 2.0 | 564 | 0.3438 | 0.9181 | 0.9276 | 0.9230 | 0.9189 |
| 0.1695 | 3.0 | 846 | 0.3791 | 0.9201 | 0.9306 | 0.9218 | 0.9208 |
| 0.0776 | 4.0 | 1128 | 0.3874 | 0.9331 | 0.9381 | 0.9345 | 0.9342 |
| 0.0257 | 5.0 | 1410 | 0.3965 | 0.9311 | 0.9402 | 0.9320 | 0.9322 |
| 0.0148 | 6.0 | 1692 | 0.3811 | 0.9381 | 0.9458 | 0.9363 | 0.9380 |
| 0.0003 | 7.0 | 1974 | 0.3910 | 0.9341 | 0.9395 | 0.9330 | 0.9339 |
| 0.0001 | 8.0 | 2256 | 0.3921 | 0.9341 | 0.9394 | 0.9328 | 0.9338 |
Framework versions
- PEFT 0.21.0
- Transformers 5.17.0
- Pytorch 2.11.0+cu128
- Datasets 5.0.1
- Tokenizers 0.23.1
- Library
- peft
- License
- apache-2.0
- Created
- Sep 17, 2026
- Updated
- Sep 17, 2026