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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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- 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 Small Arabic |
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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 ar |
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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: 54.08 |
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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 Arabic |
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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 ar dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4948 |
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- Wer: 54.08 |
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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: 32 |
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- eval_batch_size: 2 |
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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: 10000 |
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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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| 0.1885 | 1.03 | 1000 | 0.3950 | 66.44 | |
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| 0.0794 | 3.0 | 2000 | 0.3950 | 58.5507 | |
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| 0.0286 | 4.04 | 3000 | 0.4602 | 63.88 | |
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| 0.0128 | 6.01 | 4000 | 0.4948 | 54.08 | |
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| 0.0048 | 7.04 | 5000 | 0.5466 | 57.9867 | |
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| 0.0029 | 9.01 | 6000 | 0.5710 | 55.4147 | |
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| 0.0013 | 10.05 | 7000 | 0.5996 | 58.7707 | |
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| 0.0008 | 12.02 | 8000 | 0.6179 | 54.748 | |
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| 0.0006 | 13.05 | 9000 | 0.6343 | 56.2613 | |
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| 0.0003 | 15.02 | 10000 | 0.6388 | 56.228 | |
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### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.11.1.dev0 |
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- Tokenizers 0.13.2 |
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