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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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- MohammadJamalaldeen/Sudanese_Dialect |
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metrics: |
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- wer |
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model-index: |
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- name: Sudanese Whisper - MohammadJamalaldeen |
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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: Sudanese Dialect |
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type: MohammadJamalaldeen/Sudanese_Dialect |
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args: 'config: ar, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 109.00443880786304 |
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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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# Sudanese Whisper - MohammadJamalaldeen |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Sudanese Dialect dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9342 |
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- Wer: 109.0044 |
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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: 8 |
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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: 4000 |
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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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| 0.3694 | 1.66 | 1000 | 0.8267 | 83.6398 | |
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| 0.136 | 3.31 | 2000 | 0.8340 | 107.5460 | |
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| 0.0695 | 4.97 | 3000 | 0.8763 | 80.6806 | |
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| 0.0198 | 6.62 | 4000 | 0.9342 | 109.0044 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.2 |
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