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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: 83.72703412073491 |
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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: 1.2475 |
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- Wer: 83.7270 |
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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: 40 |
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- training_steps: 200 |
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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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| 0.9999 | 4.4444 | 40 | 1.2054 | 71.8285 | |
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| 0.4535 | 8.8889 | 80 | 1.1539 | 73.2283 | |
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| 0.2849 | 13.3333 | 120 | 1.1958 | 104.5494 | |
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| 0.1674 | 17.7778 | 160 | 1.2341 | 79.2651 | |
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| 0.1372 | 22.2222 | 200 | 1.2475 | 83.7270 | |
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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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