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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-small |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_16_1 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Uz - Aslon Khamidov -- with Uzbek Voice dataset |
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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 16.1 |
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type: mozilla-foundation/common_voice_16_1 |
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config: uz |
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split: test |
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args: 'config: uz, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 30.20491240338149 |
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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 Uz - Aslon Khamidov -- with Uzbek Voice dataset |
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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 16.1 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3052 |
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- Wer: 30.2049 |
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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: 8 |
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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: 500 |
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- training_steps: 15000 |
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- mixed_precision_training: Native AMP |
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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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| 0.4689 | 0.0210 | 1000 | 0.5616 | 48.2462 | |
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| 0.3234 | 0.0420 | 2000 | 0.4695 | 44.8210 | |
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| 0.3078 | 0.0630 | 3000 | 0.4184 | 38.8747 | |
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| 0.2845 | 0.0840 | 4000 | 0.3955 | 36.2861 | |
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| 0.2771 | 0.1050 | 5000 | 0.3720 | 35.5344 | |
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| 0.2459 | 0.1260 | 6000 | 0.3649 | 35.9415 | |
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| 0.2482 | 0.1470 | 7000 | 0.3499 | 34.3993 | |
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| 0.26 | 0.1680 | 8000 | 0.3389 | 32.9183 | |
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| 0.2128 | 0.1891 | 9000 | 0.3321 | 33.2493 | |
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| 0.2092 | 0.2101 | 10000 | 0.3215 | 31.4973 | |
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| 0.1942 | 0.2311 | 11000 | 0.3194 | 31.0465 | |
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| 0.1912 | 0.2521 | 12000 | 0.3184 | 31.2850 | |
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| 0.2199 | 0.2731 | 13000 | 0.3100 | 30.6395 | |
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| 0.1861 | 0.2941 | 14000 | 0.3059 | 30.8667 | |
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| 0.2344 | 0.3151 | 15000 | 0.3052 | 30.2049 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.2.0 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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