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--- |
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language: |
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- ru |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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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 Medium Russian |
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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: mozilla-foundation/common_voice_11_0 ru |
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type: mozilla-foundation/common_voice_11_0 |
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config: ru |
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split: test |
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args: ru |
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metrics: |
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- type: wer |
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value: 7.562437929892964 |
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name: Wer |
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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: google/fleurs |
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type: google/fleurs |
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config: ru_ru |
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split: test |
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metrics: |
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- type: wer |
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value: 10.92 |
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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 Medium Russian |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0 ru dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2253 |
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- Wer: 7.5624 |
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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: 16 |
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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: 10000 |
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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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| 0.1578 | 0.1 | 1000 | 0.1662 | 8.8290 | |
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| 0.045 | 1.08 | 2000 | 0.1748 | 8.9148 | |
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| 0.0176 | 2.06 | 3000 | 0.1889 | 8.7848 | |
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| 0.0104 | 3.04 | 4000 | 0.1922 | 8.4354 | |
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| 0.0051 | 4.02 | 5000 | 0.2034 | 8.1865 | |
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| 0.0047 | 4.12 | 6000 | 0.2012 | 8.0455 | |
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| 0.0018 | 5.1 | 7000 | 0.2117 | 7.6237 | |
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| 0.0004 | 6.08 | 8000 | 0.2177 | 7.6078 | |
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| 0.0003 | 7.06 | 9000 | 0.2244 | 7.6262 | |
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| 0.0002 | 8.04 | 10000 | 0.2253 | 7.5624 | |
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### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.11.1.dev0 |
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- Tokenizers 0.13.2 |
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