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---
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library_name: peft
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language:
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- hu
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license: apache-2.0
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base_model: openai/whisper-tiny
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tags:
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_17_0
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metrics:
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- wer
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model-index:
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- name: Whisper Tiny Hu Test - Zakryah
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results:
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- task:
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type: automatic-speech-recognition
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name: Automatic Speech Recognition
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dataset:
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name: Common Voice 17.0
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type: mozilla-foundation/common_voice_17_0
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config: hu
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split: test
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args: 'config: hu, split: test'
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metrics:
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- type: wer
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value: 113.13022828434707
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name: Wer
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper Tiny Hu Test - Zakryah |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 17.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2430 |
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- Wer: 113.1302 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 4000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 1.3058 | 0.3299 | 1000 | 1.2987 | 114.1613 | |
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| 1.3143 | 0.6598 | 2000 | 1.2633 | 112.6243 | |
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| 1.2969 | 0.9898 | 3000 | 1.2478 | 113.3247 | |
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| 1.2082 | 1.3197 | 4000 | 1.2430 | 113.1302 | |
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### Framework versions |
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- PEFT 0.14.1.dev0 |
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- Transformers 4.50.0.dev0 |
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- Pytorch 2.6.0+cu126 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
