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--- |
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library_name: transformers |
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language: |
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- sw |
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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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- DigitalUmuganda/AfriVoice |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Hi - Sanchit Gandhi |
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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: AfriVoice |
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type: DigitalUmuganda/AfriVoice |
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args: 'config: sw, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 40.669210901661465 |
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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 Hi - Sanchit Gandhi |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the AfriVoice dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0521 |
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- Wer: 40.6692 |
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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: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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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- num_epochs: 40 |
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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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| 0.0308 | 16.1290 | 500 | 0.9322 | 41.8411 | |
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| 0.0011 | 32.2581 | 1000 | 1.0521 | 40.6692 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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