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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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- automatic-speech-recognition |
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- generated_from_trainer |
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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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datasets: |
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- mozilla-foundation/common_voice_13_0 |
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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: 0.3775 |
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- Wer Ortho: 56.3536 |
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- Wer: 45.8937 |
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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: constant_with_warmup |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 1 |
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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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| 0.6542 | 0.13 | 500 | 0.6243 | 76.5585 | 67.7862 | |
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| 0.5377 | 0.27 | 1000 | 0.5227 | 68.8556 | 60.2594 | |
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| 0.4573 | 0.4 | 1500 | 0.4727 | 66.7551 | 56.0715 | |
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| 0.4353 | 0.53 | 2000 | 0.4380 | 62.1211 | 52.5453 | |
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| 0.3907 | 0.66 | 2500 | 0.4159 | 61.1252 | 50.8035 | |
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| 0.4122 | 0.8 | 3000 | 0.3897 | 58.2628 | 47.8918 | |
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| 0.3698 | 0.93 | 3500 | 0.3775 | 56.3536 | 45.8937 | |
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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 |
