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--- |
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language: |
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- multilingual |
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license: apache-2.0 |
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base_model: serge-wilson/whisper-small-wolof |
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tags: |
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- generated_from_trainer |
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datasets: |
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- audiofolder |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Wolof Lengo AI V5 |
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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: audiofolder |
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type: audiofolder |
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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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- name: Wer |
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type: wer |
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value: 39.312847261594285 |
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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 Wolof Lengo AI V5 |
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This model is a fine-tuned version of [serge-wilson/whisper-small-wolof](https://huggingface.co/serge-wilson/whisper-small-wolof) on the audiofolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3500 |
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- Wer: 39.3128 |
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- Cer: 26.3187 |
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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: 0.0005 |
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- train_batch_size: 8 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-05 |
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- lr_scheduler_type: polynomial |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 1990 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
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| 1.3022 | 1.0 | 208 | 1.2112 | 146.8307 | 105.1707 | |
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| 0.8551 | 2.0 | 416 | 0.9020 | 90.5318 | 83.8833 | |
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| 0.5754 | 3.0 | 624 | 0.7127 | 118.9704 | 102.1064 | |
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| 0.3739 | 4.0 | 832 | 0.5951 | 63.1591 | 45.8295 | |
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| 0.2459 | 5.0 | 1040 | 0.4929 | 63.5446 | 50.1286 | |
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| 0.1579 | 6.0 | 1248 | 0.4524 | 51.6158 | 35.0170 | |
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| 0.0884 | 7.0 | 1456 | 0.4204 | 46.9554 | 30.6374 | |
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| 0.0498 | 8.0 | 1664 | 0.3817 | 51.6158 | 33.7194 | |
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| 0.0268 | 9.0 | 1872 | 0.3490 | 40.8550 | 27.1844 | |
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| 0.012 | 9.57 | 1990 | 0.3500 | 39.3128 | 26.3187 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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