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--- |
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library_name: transformers |
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language: |
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- bem |
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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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- BIG-C/BEMBA |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Bemba - Beijuka Bruno |
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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: BEMBA |
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type: BIG-C/BEMBA |
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args: 'config: bemba, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.3491317596093836 |
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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 Bemba - Beijuka Bruno |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the BEMBA dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4520 |
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- Wer: 0.3491 |
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- Cer: 0.0971 |
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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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- 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_ratio: 0.025 |
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- num_epochs: 100 |
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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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| 0.9127 | 1.0 | 5143 | 0.5881 | 0.4483 | 0.1252 | |
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| 0.5091 | 2.0 | 10286 | 0.4981 | 0.3918 | 0.1136 | |
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| 0.4171 | 3.0 | 15429 | 0.4668 | 0.3636 | 0.1024 | |
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| 0.3332 | 4.0 | 20572 | 0.4638 | 0.3551 | 0.1022 | |
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| 0.251 | 5.0 | 25715 | 0.4828 | 0.3585 | 0.1101 | |
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| 0.1689 | 6.0 | 30858 | 0.5249 | 0.3631 | 0.1102 | |
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| 0.0992 | 7.0 | 36001 | 0.5907 | 0.3645 | 0.1078 | |
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| 0.0548 | 8.0 | 41144 | 0.6471 | 0.3676 | 0.1082 | |
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| 0.034 | 9.0 | 46287 | 0.7023 | 0.3646 | 0.1071 | |
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| 0.0252 | 10.0 | 51430 | 0.7307 | 0.3707 | 0.1129 | |
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| 0.0207 | 11.0 | 56573 | 0.7652 | 0.3652 | 0.1071 | |
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| 0.0178 | 12.0 | 61716 | 0.7873 | 0.3653 | 0.1088 | |
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| 0.0161 | 13.0 | 66859 | 0.8036 | 0.3643 | 0.1093 | |
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| 0.0144 | 14.0 | 72002 | 0.8223 | 0.3573 | 0.1064 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
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