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--- |
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language: |
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- uz |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- audio |
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- automatic-speech-recognition |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_13_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Tiny Uzbek |
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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: mozilla-foundation/common_voice_13_0 |
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type: mozilla-foundation/common_voice_13_0 |
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config: uz |
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split: test |
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args: uz |
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metrics: |
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- name: Wer |
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type: wer |
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value: 36.79056163528213 |
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pipeline_tag: automatic-speech-recognition |
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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 Uzbek |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_13_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2981 |
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- Wer Ortho: 47.7812 |
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- Wer: 36.7906 |
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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: cosine_with_restarts |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:-------:| |
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| 0.2929 | 0.8 | 3000 | 0.3281 | 50.8851 | 40.4395 | |
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| 0.2194 | 1.59 | 6000 | 0.3110 | 49.2325 | 37.9320 | |
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| 0.177 | 2.39 | 9000 | 0.3003 | 47.8700 | 36.8366 | |
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| 0.1574 | 3.18 | 12000 | 0.2997 | 48.2291 | 37.0491 | |
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| 0.1524 | 3.98 | 15000 | 0.2958 | 47.2395 | 36.4400 | |
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| 0.1455 | 4.77 | 18000 | 0.2981 | 47.7812 | 36.7906 | |
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### Framework versions |
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- Transformers 4.35.1 |
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- Pytorch 2.1.0 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
