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--- |
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base_model: mbazaNLP/Whisper-Small-Kinyarwanda |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-small-rw |
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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: common_voice_11_0 |
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type: common_voice_11_0 |
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config: rw |
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split: None |
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args: rw |
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metrics: |
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- name: Wer |
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type: wer |
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value: 33.420365535248045 |
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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-rw |
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This model is a fine-tuned version of [mbazaNLP/Whisper-Small-Kinyarwanda](https://huggingface.co./mbazaNLP/Whisper-Small-Kinyarwanda) on the common_voice_11_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0954 |
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- Wer: 33.4204 |
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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: 5 |
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- training_steps: 100 |
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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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| No log | 1.4286 | 10 | 2.3900 | 34.2037 | |
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| No log | 2.8571 | 20 | 2.3111 | 34.5953 | |
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| 2.1422 | 4.2857 | 30 | 2.2492 | 34.2037 | |
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| 2.1422 | 5.7143 | 40 | 2.2022 | 33.9426 | |
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| 1.8742 | 7.1429 | 50 | 2.1669 | 33.8120 | |
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| 1.8742 | 8.5714 | 60 | 2.1406 | 33.6815 | |
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| 1.8742 | 10.0 | 70 | 2.1216 | 33.4204 | |
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| 1.7608 | 11.4286 | 80 | 2.1077 | 33.2898 | |
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| 1.7608 | 12.8571 | 90 | 2.0994 | 33.5509 | |
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| 1.6573 | 14.2857 | 100 | 2.0954 | 33.4204 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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