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--- |
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library_name: transformers |
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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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- fsicoli/common_voice_18_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small CV 18 - Garon |
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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: Common Voice 18.0 Ru |
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type: fsicoli/common_voice_18_0 |
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config: ru |
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split: None |
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args: 'split: train, test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 16.3383290187019 |
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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 CV 18 - Garon |
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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 18.0 Ru dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2906 |
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- Wer: 16.3383 |
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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: 32 |
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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: 1000 |
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- num_epochs: 10 |
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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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| 0.2603 | 1.0 | 826 | 0.2231 | 18.2503 | |
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| 0.1298 | 2.0 | 1652 | 0.2108 | 17.0453 | |
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| 0.0586 | 3.0 | 2478 | 0.2165 | 16.8375 | |
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| 0.0271 | 4.0 | 3304 | 0.2315 | 16.7760 | |
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| 0.0122 | 5.0 | 4130 | 0.2478 | 16.7864 | |
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| 0.0057 | 6.0 | 4956 | 0.2667 | 16.5670 | |
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| 0.0029 | 7.0 | 5782 | 0.2727 | 16.2594 | |
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| 0.0018 | 8.0 | 6608 | 0.2833 | 16.3743 | |
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| 0.0013 | 9.0 | 7434 | 0.2885 | 16.2594 | |
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| 0.0011 | 10.0 | 8260 | 0.2906 | 16.3383 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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