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whisper-tiny_to_american_accent_v2
AkshitSaxena1/whisper-tiny_to_american_accent_v2
whisper-tiny_to_american_accent_v2 is a automatic speech recognition model from AkshitSaxena1. 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
- Mar 29, 2026
- Updated
- Mar 31, 2026
- SHA
- 7a570a54
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 american
This model is a fine-tuned version of openai/whisper-tiny on the American English dataset. It achieves the following results on the evaluation set:
- Loss: 0.2197
- Wer: 9.1536
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: 2
- eval_batch_size: 1
- seed: 42
- 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: 500
- training_steps: 3000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0285 | 0.2363 | 250 | 0.1990 | 7.9297 |
| 0.0431 | 0.4726 | 500 | 0.2119 | 9.2225 |
| 0.0469 | 0.7089 | 750 | 0.2184 | 7.8952 |
| 0.0589 | 0.9452 | 1000 | 0.2103 | 8.1538 |
| 0.0197 | 1.1815 | 1250 | 0.2149 | 8.6537 |
| 0.0146 | 1.4178 | 1500 | 0.2157 | 8.5675 |
| 0.0990 | 1.6541 | 1750 | 0.2132 | 8.6709 |
| 0.0278 | 1.8904 | 2000 | 0.2125 | 8.3262 |
| 0.0016 | 2.1267 | 2250 | 0.2183 | 8.8605 |
| 0.0054 | 2.3629 | 2500 | 0.2180 | 8.5158 |
| 0.0062 | 2.5992 | 2750 | 0.2183 | 9.0157 |
| 0.0032 | 2.8355 | 3000 | 0.2197 | 9.1536 |
Framework versions
- Transformers 5.5.0.dev0
- Pytorch 2.10.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Mar 29, 2026
- Updated
- Mar 31, 2026