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--- |
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language: |
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- ar |
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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 Ar-Martha |
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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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args: 'config: ar' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 70.20710621318639 |
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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 Ar- Martha: |
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This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set: |
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Loss: 0.5854 |
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Wer: 70.2071 |
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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: 500 |
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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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| 0.9692 | 0.14 | 125 | 1.3372 | 173.0952| |
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| 0.5716 | 0.29 | 250 | 0.9058 | 148.6795| |
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| 0.3297 | 0.43 | 375 | 0.5825 | 63.6709 | |
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| 0.3083 | 0.57 | 500 | 0.5854 | 70.2071 | |
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## Framework versions |
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Transformers 4.26.0.dev0 |
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Pytorch 1.13.0+cu116 |
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Datasets 2.7.1 |
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Tokenizers 0.13.2 |
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