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--- |
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language: |
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- tt |
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license: apache-2.0 |
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tags: |
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- hf-asr-leaderboard |
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- whisper-event |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Tatar - Kirill Milintsevich |
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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 11.0 |
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type: mozilla-foundation/common_voice_11_0 |
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args: 'Config: tt' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 29.091166477916197 |
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--- |
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# Whisper Small Tatar - Kirill Milintsevich |
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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 11.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4745 |
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- Wer: 29.1407 |
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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: 64 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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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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| 0.0415 | 4.98 | 1000 | 0.3252 | 29.9512 | |
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| 0.0041 | 9.95 | 2000 | 0.3982 | 29.4805 | |
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| 0.0007 | 14.93 | 3000 | 0.4457 | 29.1513 | |
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| 0.0003 | 19.9 | 4000 | 0.4665 | 29.0912 | |
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| 0.0002 | 24.88 | 5000 | 0.4745 | 29.1407 | |
