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--- |
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language: |
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- ba |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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- hf-asr-leaderboard |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Bashkir |
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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_11_0 ba |
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type: mozilla-foundation/common_voice_11_0 |
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config: ba |
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split: test |
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args: ba |
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metrics: |
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- name: Wer |
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type: wer |
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value: 15.072300680807968 |
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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 Bashkir |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co./openai/whisper-small) on the mozilla-foundation/common_voice_11_0 ba dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2589 |
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- Wer: 15.0723 |
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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: 30000 |
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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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| 0.1637 | 1.01 | 2000 | 0.2555 | 26.4682 | |
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| 0.1375 | 2.01 | 4000 | 0.2223 | 21.5394 | |
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| 0.0851 | 3.02 | 6000 | 0.2086 | 19.6725 | |
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| 0.0573 | 4.02 | 8000 | 0.2178 | 18.4280 | |
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| 0.036 | 5.03 | 10000 | 0.2312 | 17.8248 | |
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| 0.0238 | 6.04 | 12000 | 0.2621 | 17.4096 | |
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| 0.0733 | 7.04 | 14000 | 0.2120 | 16.5656 | |
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| 0.0111 | 8.05 | 16000 | 0.2682 | 16.2291 | |
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| 0.0155 | 9.05 | 18000 | 0.2677 | 15.9242 | |
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| 0.0041 | 10.06 | 20000 | 0.3178 | 15.9534 | |
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| 0.0023 | 12.01 | 22000 | 0.3218 | 16.0536 | |
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| 0.0621 | 13.01 | 24000 | 0.2313 | 15.6169 | |
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| 0.0022 | 14.02 | 26000 | 0.2887 | 15.1083 | |
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| 0.0199 | 15.02 | 28000 | 0.2553 | 15.1848 | |
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| 0.0083 | 16.03 | 30000 | 0.2589 | 15.0723 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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