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--- |
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library_name: transformers |
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language: |
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- kk |
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license: apache-2.0 |
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base_model: openai/whisper-medium |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Medium KK - Kazakh - Fleurs - Common Voice |
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results: [] |
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datasets: |
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- google/fleurs |
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- mozilla-foundation/common_voice_17_0 |
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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 Medium KK - Kazakh - Fleurs - Common Voice |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3910 |
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- Wer: 21.2101 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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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| 0.0045 | 7.5725 | 1000 | 0.3121 | 23.2826 | |
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| 0.0003 | 15.1507 | 2000 | 0.3523 | 21.3939 | |
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| 0.0001 | 22.7232 | 3000 | 0.3738 | 21.3661 | |
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| 0.0001 | 30.3013 | 4000 | 0.3863 | 21.3772 | |
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| 0.0001 | 37.8738 | 5000 | 0.3910 | 21.2101 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu118 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.0 |
