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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- afrispeech-200 |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-medium-23 |
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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: afrispeech-200 |
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type: afrispeech-200 |
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config: all |
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split: train |
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args: all |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.562546896773502 |
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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-medium-23 |
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This model is a fine-tuned version of [saif-daoud/whisper-medium-22](https://huggingface.co/saif-daoud/whisper-medium-22) on the afrispeech-200 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4774 |
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- Wer: 0.5625 |
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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-06 |
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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: 750 |
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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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| 0.8977 | 0.5 | 375 | 0.6403 | 0.1715 | |
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| 0.6345 | 1.5 | 750 | 0.4774 | 0.5625 | |
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### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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