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asr_mind_mode
nunuing/asr_mind_mode
asr_mind_mode is a automatic speech recognition model from nunuing. Use it when you need speech turned into text. It is set up for transformers. 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
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Aug 26, 2026
- Updated
- Aug 26, 2026
- SHA
- 0ff67e31
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. -->
asr_mind_mode
This model is a fine-tuned version of w11wo/wav2vec2-xls-r-300m-korean on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4669
- Wer: 1.1260
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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_steps: 5
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.4112 | 0.1667 | 5 | 2.5890 | 1.0324 |
| 6.8732 | 0.3333 | 10 | 2.2256 | 1.0513 |
| 7.6868 | 0.5 | 15 | 2.0113 | 1.0675 |
| 7.5304 | 0.6667 | 20 | 1.8841 | 1.0846 |
| 6.0630 | 0.8333 | 25 | 1.6901 | 1.0999 |
| 6.2924 | 1.0 | 30 | 1.5908 | 1.1152 |
| 6.0157 | 1.1667 | 35 | 1.5801 | 1.1215 |
| 5.2062 | 1.3333 | 40 | 1.5709 | 1.1251 |
| 5.4203 | 1.5 | 45 | 1.5565 | 1.1260 |
| 4.7041 | 1.6667 | 50 | 1.5526 | 1.1242 |
| 5.3392 | 1.8333 | 55 | 1.5531 | 1.1251 |
| 6.4507 | 2.0 | 60 | 1.5481 | 1.1251 |
| 5.8050 | 2.1667 | 65 | 1.5197 | 1.1269 |
| 4.5138 | 2.3333 | 70 | 1.5034 | 1.1287 |
| 5.0324 | 2.5 | 75 | 1.4949 | 1.1278 |
| 5.8347 | 2.6667 | 80 | 1.4905 | 1.1260 |
| 5.9266 | 2.8333 | 85 | 1.4765 | 1.1242 |
| 5.3955 | 3.0 | 90 | 1.4727 | 1.1251 |
| 5.0815 | 3.1667 | 95 | 1.4682 | 1.1242 |
| 5.5879 | 3.3333 | 100 | 1.4669 | 1.1260 |
Framework versions
- Transformers 5.15.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Aug 26, 2026
- Updated
- Aug 26, 2026