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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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- 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 Tiny 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: mozilla-foundation/common_voice_11_0 tt |
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type: mozilla-foundation/common_voice_11_0 |
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config: tt |
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split: test |
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args: tt |
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metrics: |
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- name: Wer |
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type: wer |
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value: 49.228482446206115 |
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--- |
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# Whisper Tiny Tatar - Kirill Milintsevich |
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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 11.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5106 |
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- Wer: 49.2285 |
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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: 32 |
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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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| 0.4268 | 2.49 | 500 | 0.6232 | 63.6537 | |
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| 0.2331 | 4.98 | 1000 | 0.5044 | 52.3818 | |
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| 0.1332 | 7.46 | 1500 | 0.4927 | 50.2300 | |
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| 0.09 | 9.95 | 2000 | 0.5106 | 49.2285 | |
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| 0.048 | 12.44 | 2500 | 0.5526 | 49.7806 | |
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| 0.0346 | 14.93 | 3000 | 0.5850 | 50.0319 | |
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| 0.0181 | 17.41 | 3500 | 0.6276 | 50.5592 | |
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| 0.0122 | 19.9 | 4000 | 0.6494 | 50.3327 | |
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| 0.0086 | 22.39 | 4500 | 0.6737 | 50.6688 | |
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| 0.0077 | 24.88 | 5000 | 0.6777 | 50.6724 | |
