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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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- generated_from_trainer |
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base_model: openai/whisper-tiny |
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datasets: |
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- bond005/podlodka_speech |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-tiny-ru |
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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: Podlodka Speech |
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type: bond005/podlodka_speech |
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args: 'config: ru, split: test' |
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metrics: |
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- type: wer |
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value: 99.38757655293088 |
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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-tiny-ru |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Podlodka Speech dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4991 |
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- Wer: 99.3876 |
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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: 4 |
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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: 100 |
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- training_steps: 500 |
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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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| 0.295 | 5.5556 | 50 | 1.1982 | 83.2896 | |
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| 0.1297 | 11.1111 | 100 | 1.2768 | 76.0280 | |
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| 0.0517 | 16.6667 | 150 | 1.3594 | 72.5284 | |
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| 0.0203 | 22.2222 | 200 | 1.3969 | 85.4768 | |
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| 0.0094 | 27.7778 | 250 | 1.4394 | 104.2870 | |
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| 0.0061 | 33.3333 | 300 | 1.4646 | 87.8390 | |
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| 0.0049 | 38.8889 | 350 | 1.4813 | 90.4637 | |
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| 0.0043 | 44.4444 | 400 | 1.4909 | 86.7017 | |
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| 0.004 | 50.0 | 450 | 1.4973 | 99.6500 | |
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| 0.0038 | 55.5556 | 500 | 1.4991 | 99.3876 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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