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--- |
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library_name: transformers |
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language: |
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- twi |
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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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- custom-dataset |
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- local-dataset |
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- whisper |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: T6-Whisper-FineTuned-DL-Twi |
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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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# T6-Whisper-FineTuned-DL-Twi |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Twi-native Ghanaian language. dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0077 |
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- Wer: 40.8733 |
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- Cer: 34.8904 |
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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: 3000 |
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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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| 0.0308 | 0.6333 | 1000 | 0.0273 | 45.2786 | 35.2605 | |
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| 0.0068 | 1.2666 | 2000 | 0.0108 | 30.0399 | 23.6567 | |
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| 0.0038 | 1.8999 | 3000 | 0.0077 | 40.8733 | 34.8904 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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