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--- |
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language: |
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- ymr |
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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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metrics: |
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- wer |
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model-index: |
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- name: leenag/Malasar_Dict |
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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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# leenag/Malasar_Dict |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Spoken Bible Corpus: Malasar dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0139 |
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- Wer: 7.6014 |
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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: 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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| 0.042 | 0.6410 | 250 | 0.0392 | 18.1869 | |
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| 0.023 | 1.2821 | 500 | 0.0318 | 14.5833 | |
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| 0.0158 | 1.9231 | 750 | 0.0215 | 10.5293 | |
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| 0.0106 | 2.5641 | 1000 | 0.0175 | 11.5428 | |
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| 0.0035 | 3.2051 | 1250 | 0.0145 | 7.5450 | |
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| 0.0027 | 3.8462 | 1500 | 0.0139 | 9.1779 | |
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| 0.0018 | 4.4872 | 1750 | 0.0144 | 7.5450 | |
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| 0.0016 | 5.1282 | 2000 | 0.0139 | 7.6014 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.19.1 |
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