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whisper-base-ultimate-Augmented
wandererupak/whisper-base-ultimate-Augmented
whisper-base-ultimate-Augmented is a automatic speech recognition model from wandererupak. 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 29, 2026
- Updated
- Jan 29, 2026
- SHA
- a8c98737
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 base N - Augmented
This model is a fine-tuned version of openai/whisper-small on the N Demo-1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5879
- Wer: 65.1996
- Cer: 26.9203
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: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 2.2835 | 0.5010 | 64 | 1.5724 | 137.6663 | 100.6584 |
| 1.2882 | 1.0 | 128 | 1.0519 | 102.4565 | 47.4945 |
| 0.9701 | 1.5010 | 192 | 0.8603 | 90.5834 | 42.3007 |
| 0.8499 | 2.0 | 256 | 0.7567 | 80.6551 | 34.7293 |
| 0.7095 | 2.5010 | 320 | 0.7002 | 79.8362 | 33.3577 |
| 0.6677 | 3.0 | 384 | 0.6425 | 74.6162 | 31.1448 |
| 0.5761 | 3.5010 | 448 | 0.6236 | 72.9785 | 30.9802 |
| 0.5718 | 4.0 | 512 | 0.5990 | 76.5609 | 32.3702 |
| 0.49 | 4.5010 | 576 | 0.5865 | 75.7421 | 31.5106 |
| 0.4757 | 5.0 | 640 | 0.5690 | 71.5455 | 28.9320 |
| 0.4141 | 5.5010 | 704 | 0.5641 | 71.0338 | 29.7732 |
| 0.4095 | 6.0 | 768 | 0.5655 | 67.4514 | 27.9627 |
| 0.3499 | 6.5010 | 832 | 0.5705 | 67.9632 | 27.5786 |
| 0.3632 | 7.0 | 896 | 0.5540 | 71.0338 | 30.9985 |
| 0.3078 | 7.5010 | 960 | 0.5613 | 66.5302 | 26.8288 |
| 0.2985 | 8.0 | 1024 | 0.5569 | 66.9396 | 26.7374 |
| 0.2503 | 8.5010 | 1088 | 0.5629 | 65.8137 | 26.5728 |
| 0.2637 | 9.0 | 1152 | 0.5527 | 65.1996 | 26.1339 |
| 0.2187 | 9.5010 | 1216 | 0.5671 | 65.8137 | 26.9386 |
| 0.2257 | 10.0 | 1280 | 0.5719 | 65.5067 | 26.4996 |
| 0.1856 | 10.5010 | 1344 | 0.5649 | 66.7349 | 26.2985 |
| 0.1971 | 11.0 | 1408 | 0.5745 | 64.4831 | 26.2436 |
| 0.1674 | 11.5010 | 1472 | 0.5771 | 65.8137 | 26.2619 |
| 0.1639 | 12.0 | 1536 | 0.5781 | 65.6090 | 27.5604 |
| 0.1403 | 12.5010 | 1600 | 0.5843 | 65.7114 | 26.8837 |
| 0.1477 | 13.0 | 1664 | 0.5879 | 65.1996 | 26.9203 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.9.0+cu126
- Datasets 3.1.0
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ne
- Created
- Jan 29, 2026
- Updated
- Jan 29, 2026