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l3-whisper-tiny-l2v191hc_v5
mondhs/l3-whisper-tiny-l2v191hc_v5
l3-whisper-tiny-l2v191hc_v5 is a automatic speech recognition model from mondhs. 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
- whisper
- Access
- Public
- Created
- Jul 30, 2025
- Updated
- Jul 30, 2025
- SHA
- 6d3c6c27
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. -->
l3-whisper-tiny-l2v191hc_v5
This model is a fine-tuned version of openai/whisper-tiny on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.8696
- Wer: 64.5463
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: 16
- eval_batch_size: 1
- seed: 42
- optimizer: Use adamw_torch 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: 200
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0.1072 | 200 | 1.5447 | 85.0445 |
| No log | 0.2145 | 400 | 1.1390 | 76.1530 |
| 1.3903 | 0.3217 | 600 | 1.0303 | 72.4986 |
| 1.3903 | 0.4290 | 800 | 0.9720 | 69.5034 |
| 0.7774 | 0.5362 | 1000 | 0.9302 | 67.0499 |
| 0.7774 | 0.6434 | 1200 | 0.9055 | 65.4626 |
| 0.7774 | 0.7507 | 1400 | 0.8864 | 65.0380 |
| 0.6921 | 0.8579 | 1600 | 0.8766 | 64.4182 |
| 0.6921 | 0.9651 | 1800 | 0.8696 | 64.5463 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.2.1
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jul 30, 2025
- Updated
- Jul 30, 2025