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Qwen3-ASR-0.6B-med-pl-lora-decoder-only
AleksanderObuchowski/Qwen3-ASR-0.6B-med-pl-lora-decoder-only
Qwen3-ASR-0.6B-med-pl-lora-decoder-only is a machine learning model from AleksanderObuchowski. 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
- Jan 30, 2026
- Updated
- Feb 2, 2026
- SHA
- eaa172bf
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. -->
Qwen3-ASR-0.6B-med-pl-lora-decoder-only
This model is a fine-tuned version of Qwen/Qwen3-ASR-0.6B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4958
- Wer: 38.6529
- Cer: 15.6408
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: 8
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.7471 | 1.0 | 501 | 0.5691 | 52.4302 | 20.2179 |
| 0.6244 | 2.0 | 1002 | 0.4613 | 45.6181 | 17.2191 |
| 0.5278 | 3.0 | 1503 | 0.4229 | 44.3169 | 16.8220 |
| 0.4237 | 4.0 | 2004 | 0.4113 | 39.8775 | 14.4188 |
| 0.3687 | 5.0 | 2505 | 0.4136 | 39.9923 | 15.2691 |
| 0.3252 | 6.0 | 3006 | 0.4214 | 40.6812 | 15.4422 |
| 0.2576 | 7.0 | 3507 | 0.4430 | 40.1454 | 16.1703 |
| 0.2157 | 8.0 | 4008 | 0.4639 | 37.0455 | 14.3628 |
| 0.1941 | 9.0 | 4509 | 0.4803 | 36.2419 | 13.4973 |
| 0.1774 | 10.0 | 5010 | 0.4958 | 38.6529 | 15.6408 |
Framework versions
- PEFT 0.18.1
- Transformers 4.57.6
- Pytorch 2.8.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2
- Library
- peft
- License
- apache-2.0
- Languages
- pl
- Created
- Jan 30, 2026
- Updated
- Feb 2, 2026