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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-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- ayoubkirouane/darija-stt-mix |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Egyptian 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: Darija STT Mix |
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type: ayoubkirouane/darija-stt-mix |
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metrics: |
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- name: Wer |
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type: wer |
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value: 40.95437860513896 |
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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 Egyptian Arabic |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Darija STT Mix dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6220 |
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- Wer Ortho: 45.3540 |
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- Wer: 40.9544 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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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: 200 |
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- training_steps: 1500 |
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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 Ortho | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:| |
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| 0.7241 | 0.7587 | 500 | 0.7187 | 55.7053 | 51.3005 | |
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| 0.411 | 1.5175 | 1000 | 0.6399 | 49.0351 | 44.4887 | |
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| 0.2807 | 2.2762 | 1500 | 0.6220 | 45.3540 | 40.9544 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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