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--- |
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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-ar - Mourad Mars |
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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 |
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type: mozilla-foundation/common_voice_11_0 |
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config: ar |
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split: test |
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args: ar |
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metrics: |
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- name: Wer |
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type: wer |
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value: 44.976586 |
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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 - Mourad Mars |
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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: 0.322550 |
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- Wer: 44.976586 |
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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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train_batch_size=16 |
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eval_batch_size=8 |
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optimizer: Adam |
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learning_rate=1e-5 |
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warmup_steps=500 |
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max_steps=4000 |
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eval_steps=1000 |
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metric_for_best_model="wer" |
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### Training results |
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| Training Loss | Step | Validation Loss | Wer | |
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|:-------------:|:----:|:----------------:|:---------:| |
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| 0.2811 | 1000 | 0.393018 | 53.778349 | |
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| 0.2356 | 2000 | 0.348794 | 47.793591 | |
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| 0.1705 | 3000 | 0.332207 | 45.758883 | |
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| 0.1476 | 4000 | 0.322550 | 44.976586 | |
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### Framework versions |
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