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output_model_whisper_base_shunya_ideal_data_augmentation_enabled_attepmt2
Eimhin03/output_model_whisper_base_shunya_ideal_data_augmentation_enabled_attepmt2
output_model_whisper_base_shunya_ideal_data_augmentation_enabled_attepmt2 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
- e74f4bcd
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_attepmt2
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: nan
- Wer: 100.0
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: 0.001
- 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: 100000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.2403 | 3.9062 | 5000 | 2.6294 | 114.8722 |
| 0.7554 | 7.8125 | 10000 | 1.8172 | 103.7218 |
| 0.0 | 11.7188 | 15000 | nan | 100.0 |
| 0.0 | 15.625 | 20000 | nan | 100.0 |
| 0.0 | 19.5312 | 25000 | nan | 100.0 |
| 0.0 | 23.4375 | 30000 | nan | 100.0 |
| 0.0 | 27.3438 | 35000 | nan | 100.0 |
| 0.0 | 31.25 | 40000 | nan | 100.0 |
| 0.0 | 35.1562 | 45000 | nan | 100.0 |
| 0.0 | 39.0625 | 50000 | nan | 100.0 |
| 0.0 | 42.9688 | 55000 | nan | 100.0 |
| 0.0 | 46.875 | 60000 | nan | 100.0 |
| 0.0 | 50.7812 | 65000 | nan | 100.0 |
| 0.0 | 54.6875 | 70000 | nan | 100.0 |
| 0.0 | 58.5938 | 75000 | nan | 100.0 |
| 0.0 | 62.5 | 80000 | nan | 100.0 |
| 0.0 | 66.4062 | 85000 | nan | 100.0 |
| 0.0 | 70.3125 | 90000 | nan | 100.0 |
| 0.0 | 74.2188 | 95000 | nan | 100.0 |
| 0.0 | 78.125 | 100000 | nan | 100.0 |
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