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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/Norm_KLuke_Med |
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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/Norm_KLuke_Med |
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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: 0.5144 |
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- Wer: 44.9541 |
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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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| 0.0275 | 11.3636 | 250 | 0.3935 | 48.5092 | |
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| 0.0091 | 22.7273 | 500 | 0.4626 | 49.0252 | |
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| 0.0012 | 34.0909 | 750 | 0.4798 | 47.1330 | |
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| 0.0002 | 45.4545 | 1000 | 0.5015 | 46.3876 | |
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| 0.0001 | 56.8182 | 1250 | 0.4947 | 45.5849 | |
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| 0.0 | 68.1818 | 1500 | 0.5088 | 45.0688 | |
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| 0.0 | 79.5455 | 1750 | 0.5129 | 44.9541 | |
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| 0.0 | 90.9091 | 2000 | 0.5144 | 44.9541 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.16.0 |
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- Tokenizers 0.19.1 |
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