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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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- sitwala/whisper-small-lwazi-pitori |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper whisper-small lwazi multilingual |
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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: Lwazi_asr_multilingual |
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type: sitwala/whisper-small-lwazi-pitori |
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args: 'split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 170.73170731707316 |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/dsfsi/za-next-voices/runs/nxx6dwka) |
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/dsfsi/za-next-voices/runs/nxx6dwka) |
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# Whisper whisper-small lwazi multilingual |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Lwazi_asr_multilingual dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6640 |
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- Wer Ortho: 117.0732 |
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- Wer: 170.7317 |
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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: 64 |
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- eval_batch_size: 32 |
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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: constant_with_warmup |
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- lr_scheduler_warmup_steps: 150 |
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- training_steps: 50 |
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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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| 2.4105 | 50.0 | 50 | 2.6640 | 117.0732 | 170.7317 | |
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### Framework versions |
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- Transformers 4.52.0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.4 |
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