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--- |
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language: |
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- en |
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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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- hf-asr-leaderboard |
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- generated_from_trainer |
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datasets: |
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- tobiolatunji/afrispeech-200 |
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model-index: |
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- name: Whisper Small En - Mpe_Lukhele |
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results: [] |
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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 En - Mpendulo_Lukhele |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the AfriSpeech dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 3.6218 |
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- eval_wer: 48.2933 |
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- eval_runtime: 1524.348 |
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- eval_samples_per_second: 1.968 |
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- eval_steps_per_second: 0.246 |
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- step: 0 |
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## Model description |
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<iframe |
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src="https://mpendulo-mpendulo-dsn-afrispeech.hf.space" |
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frameborder="0" |
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width="850" |
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height="450" |
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></iframe> |
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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: 8 |
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- training_steps: 10 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.1 |
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