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--- |
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library_name: transformers |
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base_model: openai/whisper-large-v3-turbo |
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tags: |
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- generated_from_trainer |
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datasets: |
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- kojo-george/asanti-twi-tts |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper ASR Asanti Twi |
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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: kojo-george/asanti-twi-tts |
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type: asanti-twi-dataset |
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args: 'config: hi, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 18.398768283294842 |
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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 ASR Asanti Twi |
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This model is a fine-tuned version of [openai/whisper-turbo](https://huggingface.co/openai/whisper-turbo) on the kojo-george/asanti-twi-tts dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2205 |
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- Wer: 18.3988 |
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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: 8 |
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- seed: 42 |
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- optimizer: Use 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: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 4000 |
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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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| 0.226 | 0.5666 | 1000 | 0.3430 | 25.6197 | |
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| 0.1438 | 1.1331 | 2000 | 0.2737 | 20.8776 | |
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| 0.1277 | 1.6997 | 3000 | 0.2353 | 18.9530 | |
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| 0.083 | 2.2663 | 4000 | 0.2205 | 18.3988 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
