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Qwen3-ASR-1.7B-med-pl-lora-decoder-only
This model is a fine-tuned version of Qwen/Qwen3-ASR-1.7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3123
- Wer: 26.8407
- Cer: 10.9659
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 |
|---|---|---|---|---|---|
| 0.575 | 1.0 | 735 | 0.2944 | 36.3769 | 13.9503 |
| 0.4698 | 2.0 | 1470 | 0.2650 | 33.3117 | 12.4164 |
| 0.4318 | 3.0 | 2205 | 0.2514 | 34.1550 | 13.6125 |
| 0.3622 | 4.0 | 2940 | 0.2498 | 31.4142 | 12.2337 |
| 0.2891 | 5.0 | 3675 | 0.2525 | 29.8411 | 11.5257 |
| 0.2421 | 6.0 | 4410 | 0.2621 | 28.7869 | 11.4193 |
| 0.1971 | 7.0 | 5145 | 0.2737 | 28.8842 | 11.7478 |
| 0.1624 | 8.0 | 5880 | 0.2841 | 27.5057 | 11.0422 |
| 0.137 | 9.0 | 6615 | 0.3008 | 26.8570 | 10.8687 |
| 0.1203 | 10.0 | 7350 | 0.3123 | 26.8407 | 10.9659 |
Framework versions
- PEFT 0.18.1
- Transformers 4.57.6
- Pytorch 2.8.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2
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Base model
Qwen/Qwen3-ASR-1.7B