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---
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license: apache-2.0
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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-urdu_bkk
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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-urdu_bkk
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1416
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- Wer: 54.4035
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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: 8
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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: 4000
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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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| 0.8024 | 3.35 | 800 | 0.6546 | 39.5662 |
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| 0.1409 | 6.69 | 1600 | 0.8260 | 47.5698 |
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| 0.0301 | 10.04 | 2400 | 0.9745 | 47.8208 |
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| 0.0074 | 13.39 | 3200 | 1.0855 | 54.9558 |
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| 0.0021 | 16.74 | 4000 | 1.1416 | 54.4035 |
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### Framework versions
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- Transformers 4.30.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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