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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-large-v3 |
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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-large-v3-chichewa |
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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-large-v3-chichewa |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9810 |
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- Wer: 101.7738 |
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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: 32 |
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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_steps: 500 |
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- training_steps: 10000 |
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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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| 0.9765 | 5.2910 | 1000 | 1.8781 | 198.6546 | |
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| 0.2576 | 10.5820 | 2000 | 2.2548 | 81.4057 | |
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| 0.1191 | 15.8730 | 3000 | 2.4730 | 80.9351 | |
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| 0.0755 | 21.1640 | 4000 | 2.6557 | 79.4872 | |
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| 0.0726 | 26.4550 | 5000 | 2.6869 | 78.3228 | |
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| 0.0722 | 31.7460 | 6000 | 2.7548 | 93.2428 | |
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| 0.0624 | 37.0370 | 7000 | 2.8531 | 79.5958 | |
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| 0.0605 | 42.3280 | 8000 | 2.8869 | 77.6893 | |
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| 0.062 | 47.6190 | 9000 | 2.9388 | 86.6606 | |
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| 0.0515 | 52.9101 | 10000 | 2.9810 | 101.7738 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.0.1 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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