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--- |
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library_name: transformers |
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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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- tachelhit_darija |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-small-darija |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: tachelhit_darija |
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type: tachelhit_darija |
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config: default |
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split: None |
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args: default |
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metrics: |
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- type: wer |
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value: 27.93522267206478 |
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name: Wer |
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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-darija |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the tachelhit_darija dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3828 |
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- Wer: 27.9352 |
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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: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 1000 |
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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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| 0.572 | 1.4286 | 100 | 0.6403 | 60.7287 | |
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| 0.2156 | 2.8571 | 200 | 0.4233 | 42.7800 | |
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| 0.0459 | 4.2857 | 300 | 0.3953 | 48.1781 | |
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| 0.0257 | 5.7143 | 400 | 0.3663 | 31.0391 | |
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| 0.0089 | 7.1429 | 500 | 0.3857 | 31.9838 | |
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| 0.0029 | 8.5714 | 600 | 0.3748 | 30.3644 | |
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| 0.0026 | 10.0 | 700 | 0.3756 | 29.4197 | |
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| 0.0012 | 11.4286 | 800 | 0.3801 | 27.5304 | |
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| 0.0011 | 12.8571 | 900 | 0.3821 | 27.9352 | |
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| 0.0013 | 14.2857 | 1000 | 0.3828 | 27.9352 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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