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whisper-tiny-en
bogosla/whisper-tiny-en
whisper-tiny-en is a automatic speech recognition model from bogosla. 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
- Jan 6, 2026
- Updated
- Jan 6, 2026
- SHA
- c6a335ea
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. -->
whisper-tiny-en
This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:
- Loss: 0.7646
- Wer Ortho: 0.2907
- Wer: 0.2868
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: 4e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: constant_with_warmup
- num_epochs: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| No log | 1.0 | 14 | 0.7929 | 0.3230 | 0.3224 |
| 0.0136 | 2.0 | 28 | 0.7854 | 0.3378 | 0.3372 |
| 0.0136 | 3.0 | 42 | 0.7646 | 0.2907 | 0.2868 |
| 0.0102 | 4.0 | 56 | 0.8354 | 0.2914 | 0.2901 |
| 0.0102 | 5.0 | 70 | 0.7656 | 0.3244 | 0.3230 |
| 0.0103 | 6.0 | 84 | 0.8051 | 0.2968 | 0.2933 |
| 0.0103 | 7.0 | 98 | 0.8514 | 0.3318 | 0.3301 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jan 6, 2026
- Updated
- Jan 6, 2026