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output_model_whisper_base_shunya_ideal_data_augmentation_enabled
Eimhin03/output_model_whisper_base_shunya_ideal_data_augmentation_enabled
output_model_whisper_base_shunya_ideal_data_augmentation_enabled is a automatic speech recognition model from Eimhin03. 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
- Feb 20, 2026
- Updated
- Feb 20, 2026
- SHA
- 7c85f0a1
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. -->
output_model_whisper_base_shunya_ideal_data_augmentation_enabled
This model is a fine-tuned version of openai/whisper-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5311
- Wer: 24.5163
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.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: 20000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.6698 | 1.5625 | 2000 | 0.9466 | 47.5705 |
| 0.2225 | 3.125 | 4000 | 0.7431 | 43.1251 |
| 0.1520 | 4.6875 | 6000 | 0.6466 | 36.1985 |
| 0.0715 | 6.25 | 8000 | 0.6520 | 36.2871 |
| 0.0582 | 7.8125 | 10000 | 0.6448 | 34.0127 |
| 0.0200 | 9.375 | 12000 | 0.6326 | 31.3691 |
| 0.0082 | 10.9375 | 14000 | 0.6005 | 29.0799 |
| 0.0082 | 12.5 | 16000 | 0.5570 | 26.8055 |
| 0.0172 | 14.0625 | 18000 | 0.5496 | 25.0480 |
| 0.0006 | 15.625 | 20000 | 0.5311 | 24.5163 |
Framework versions
- Transformers 5.3.0.dev0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Feb 20, 2026
- Updated
- Feb 20, 2026