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shook-tiny-amharic-stage2-polish
b1n1yam/shook-tiny-amharic-stage2-polish
shook-tiny-amharic-stage2-polish is a automatic speech recognition model from b1n1yam. 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
- Nov 21, 2025
- Updated
- Nov 21, 2025
- SHA
- 4dc4d84b
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. -->
tiny Amharic - Biniyam Daniel
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0627
- Wer: 20.7634
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: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- 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: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0595 | 0.2344 | 300 | 0.0684 | 22.4376 |
| 0.0582 | 0.4688 | 600 | 0.0675 | 22.1963 |
| 0.0591 | 0.7031 | 900 | 0.0668 | 22.0622 |
| 0.0595 | 0.9375 | 1200 | 0.0657 | 21.6653 |
| 0.0551 | 1.1719 | 1500 | 0.0651 | 21.5516 |
| 0.0559 | 1.4062 | 1800 | 0.0644 | 21.2442 |
| 0.055 | 1.6406 | 2100 | 0.0639 | 21.1184 |
| 0.0547 | 1.875 | 2400 | 0.0634 | 20.9395 |
| 0.0519 | 2.1094 | 2700 | 0.0632 | 20.8622 |
| 0.0526 | 2.3438 | 3000 | 0.0630 | 20.7644 |
| 0.051 | 2.5781 | 3300 | 0.0628 | 20.7634 |
| 0.0511 | 2.8125 | 3600 | 0.0627 | 20.7634 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1
- Datasets 3.6.0
- Tokenizers 0.20.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- am
- Created
- Nov 21, 2025
- Updated
- Nov 21, 2025