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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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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-tiny-akan |
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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-tiny-akan |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1467 |
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- Wer: 45.0456 |
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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: 0.0001 |
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- train_batch_size: 32 |
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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: 2000 |
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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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| 0.5414 | 10.0 | 250 | 0.7596 | 55.6922 | |
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| 0.09 | 20.0 | 500 | 0.9048 | 52.3362 | |
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| 0.0275 | 30.0 | 750 | 1.0300 | 49.0091 | |
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| 0.0114 | 40.0 | 1000 | 1.0959 | 47.4902 | |
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| 0.004 | 50.0 | 1250 | 1.1247 | 45.3783 | |
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| 0.0017 | 60.0 | 1500 | 1.1412 | 45.3493 | |
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| 0.0009 | 70.0 | 1750 | 1.1437 | 44.6261 | |
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| 0.0007 | 80.0 | 2000 | 1.1467 | 45.0456 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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