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language: |
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- ru |
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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_11_0 |
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model-index: |
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- name: Whisper Small Ru - BMSTU |
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results: [] |
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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 Ru - BMSTU |
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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: 0.1876 |
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- Cer: 3.9623 |
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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: 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: 4000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Cer | |
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|:-------------:|:------:|:----:|:---------------:|:------:| |
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| 0.1707 | 0.4924 | 1000 | 0.2238 | 4.8641 | |
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| 0.1641 | 0.9847 | 2000 | 0.1984 | 4.1821 | |
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| 0.0696 | 1.4771 | 3000 | 0.1921 | 4.1234 | |
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| 0.0712 | 1.9695 | 4000 | 0.1876 | 3.9623 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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