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whisper
BBB1234/whisper
whisper is a automatic speech recognition model from BBB1234. 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 7, 2025
- Updated
- Mar 23, 2025
- SHA
- ea0362e0
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. -->
whisper
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8306
- Wer: 70.7248
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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: 500
- training_steps: 6000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4489 | 3.0143 | 500 | 1.2780 | 58.5381 |
| 0.1305 | 7.0057 | 1000 | 1.3309 | 59.5209 |
| 0.0447 | 10.02 | 1500 | 1.4363 | 70.3563 |
| 0.0148 | 14.0113 | 2000 | 1.4946 | 58.0344 |
| 0.0027 | 18.0027 | 2500 | 1.7187 | 68.3415 |
| 0.0011 | 21.017 | 3000 | 1.6621 | 64.8280 |
| 0.0005 | 25.0083 | 3500 | 1.7632 | 72.1622 |
| 0.0003 | 28.0227 | 4000 | 1.7390 | 69.1892 |
| 0.0003 | 32.014 | 4500 | 1.7954 | 71.9042 |
| 0.0002 | 36.0053 | 5000 | 1.8321 | 71.6462 |
| 0.0002 | 39.0197 | 5500 | 1.8165 | 70.1106 |
| 0.0002 | 43.011 | 6000 | 1.8306 | 70.7248 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Mar 7, 2025
- Updated
- Mar 23, 2025