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--- |
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language: |
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- fa |
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license: apache-2.0 |
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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_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 Fa - BuzzyBuzzy |
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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 11.0 |
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type: mozilla-foundation/common_voice_11_0 |
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config: fa |
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split: test |
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args: 'config: fa, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 34.25970890624783 |
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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 Fa - BuzzyBuzzy |
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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 11.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6904 |
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- Wer: 34.2597 |
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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: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 20000 |
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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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| 0.0099 | 0.86 | 2000 | 0.6116 | 37.0499 | |
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| 0.0079 | 1.72 | 4000 | 0.6340 | 37.3746 | |
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| 0.0069 | 2.58 | 6000 | 0.6159 | 35.9455 | |
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| 0.0015 | 3.44 | 8000 | 0.6187 | 35.3281 | |
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| 0.0009 | 4.3 | 10000 | 0.6449 | 35.0783 | |
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| 0.0007 | 5.15 | 12000 | 0.6440 | 34.8452 | |
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| 0.0002 | 6.01 | 14000 | 0.6664 | 34.3263 | |
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| 0.0001 | 6.87 | 16000 | 0.6817 | 34.3471 | |
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| 0.0 | 7.73 | 18000 | 0.6809 | 34.1737 | |
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| 0.0 | 8.59 | 20000 | 0.6904 | 34.2597 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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