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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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base_model: openai/whisper-large-v3 |
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tags: |
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- whisper-event |
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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 whisper-large-v3\t ar1 - Mohamed Shaaban" |
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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 standard ar Voice 11.0 |
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type: mozilla-foundation/common_voice_11_0 |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.0 |
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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 whisper-large-v3 ar1 - Mohamed Shaaban |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on the Common standard ar Voice 11.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4220 |
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- Wer: 0.0 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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: 1 |
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- num_epochs: 5 |
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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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| 0.5721 | 1.0 | 1 | 2.1602 | 100.0 | |
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| 0.5723 | 2.0 | 2 | 1.0610 | 33.3333 | |
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| 0.1861 | 3.0 | 3 | 0.6003 | 33.3333 | |
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| 0.0478 | 4.0 | 4 | 0.4661 | 0.0 | |
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| 0.0262 | 5.0 | 5 | 0.4220 | 0.0 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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