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---
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library_name: transformers
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language:
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- tk
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license: apache-2.0
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base_model: openai/whisper-small
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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 Small TK - Abdyrahman Gudratullayew
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results:
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- task:
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name: Automatic Speech Recognition
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type: 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: tk
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split: test
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args: 'config: tk, split: test'
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metrics:
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- name: Wer
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type: wer
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value: 57.933673469387756
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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 Small TK - Abdyrahman Gudratullayew
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) 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: 1.3114
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- Wer: 57.9337
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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: 5000
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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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| 0.0083 | 14.0845 | 1000 | 1.1117 | 60.3571 |
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| 0.0003 | 28.1690 | 2000 | 1.2099 | 57.7041 |
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| 0.0002 | 42.2535 | 3000 | 1.2640 | 58.0102 |
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| 0.0001 | 56.3380 | 4000 | 1.2973 | 58.1378 |
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| 0.0001 | 70.4225 | 5000 | 1.3114 | 57.9337 |
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### Framework versions
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- Transformers 4.48.3
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- Pytorch 2.6.0+cu118
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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