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--- |
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library_name: transformers |
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language: |
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- sw |
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base_model: eolang/whisper-small-sw-WER-13-zindi |
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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 re-tuned_1 |
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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 re-tuned_1 |
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This model is a fine-tuned version of [eolang/whisper-small-sw-WER-13-zindi](https://huggingface.co/eolang/whisper-small-sw-WER-13-zindi) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8944 |
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- Wer Ortho: 40.9465 |
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- Wer: 39.9160 |
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_steps: 50 |
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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 Ortho | Wer | |
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|:-------------:|:--------:|:----:|:---------------:|:---------:|:-------:| |
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| 0.0018 | 41.6667 | 500 | 1.6457 | 45.0617 | 43.6975 | |
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| 0.0011 | 83.3333 | 1000 | 1.7081 | 46.5021 | 45.3782 | |
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| 0.0009 | 125.0 | 1500 | 1.7469 | 67.9012 | 67.2269 | |
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| 0.0009 | 166.6667 | 2000 | 1.7766 | 68.9300 | 68.2773 | |
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| 0.0009 | 208.3333 | 2500 | 1.8003 | 70.3704 | 69.7479 | |
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| 0.0008 | 250.0 | 3000 | 1.8225 | 70.3704 | 69.7479 | |
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| 0.0008 | 291.6667 | 3500 | 1.8417 | 40.7407 | 39.9160 | |
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| 0.0008 | 333.3333 | 4000 | 1.8590 | 40.3292 | 39.4958 | |
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| 0.0008 | 375.0 | 4500 | 1.8773 | 40.9465 | 40.1261 | |
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| 0.0008 | 416.6667 | 5000 | 1.8944 | 40.9465 | 39.9160 | |
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### Framework versions |
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- Transformers 4.46.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.3.2 |
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- Tokenizers 0.20.3 |
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