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--- |
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library_name: transformers |
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language: |
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- yo |
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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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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Naija |
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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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# Whisper Small Naija |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5707 |
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- Wer: 47.7271 |
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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: 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: 5000 |
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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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| 1.4056 | 0.1054 | 250 | 1.4307 | 78.3916 | |
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| 0.9509 | 0.2108 | 500 | 1.0383 | 71.7728 | |
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| 0.7805 | 0.3162 | 750 | 0.8800 | 65.6676 | |
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| 0.6558 | 0.4216 | 1000 | 0.7990 | 62.0093 | |
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| 0.6439 | 0.5270 | 1250 | 0.7510 | 64.0119 | |
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| 0.5898 | 0.6324 | 1500 | 0.7163 | 58.3060 | |
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| 0.5943 | 0.7378 | 1750 | 0.6829 | 57.5576 | |
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| 0.5335 | 0.8432 | 2000 | 0.6615 | 56.5056 | |
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| 0.528 | 0.9486 | 2250 | 0.6344 | 54.6675 | |
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| 0.4149 | 1.0540 | 2500 | 0.6291 | 54.5847 | |
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| 0.3842 | 1.1594 | 2750 | 0.6208 | 53.1334 | |
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| 0.3883 | 1.2648 | 3000 | 0.6095 | 47.0400 | |
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| 0.362 | 1.3702 | 3250 | 0.6022 | 53.3288 | |
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| 0.3747 | 1.4755 | 3500 | 0.5925 | 49.1806 | |
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| 0.3457 | 1.5809 | 3750 | 0.5834 | 48.9277 | |
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| 0.3529 | 1.6863 | 4000 | 0.5780 | 49.6644 | |
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| 0.3579 | 1.7917 | 4250 | 0.5735 | 51.2159 | |
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| 0.3446 | 1.8971 | 4500 | 0.5695 | 52.3765 | |
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| 0.319 | 2.0025 | 4750 | 0.5670 | 50.8363 | |
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| 0.256 | 2.1079 | 5000 | 0.5707 | 47.7271 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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