| ---
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| library_name: transformers
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| language:
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| - dv
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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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| datasets:
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| - alakxender/dhivehi-audio-kn
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| metrics:
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| - wer
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| model-index:
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| - name: Whisper Small Dv - Sanchit Gandhi
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| results:
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| - task:
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| name: Automatic Speech Recognition
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| type: automatic-speech-recognition
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| dataset:
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| name: Dhivehi Audio Dataset
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| type: alakxender/dhivehi-audio-kn
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| metrics:
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| - name: Wer
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| type: wer
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| value: 7.089537018152152
|
| ---
|
|
|
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| should probably proofread and complete it, then remove this comment. -->
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|
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| # Whisper Small Dv - Sanchit Gandhi
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|
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| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Dhivehi Audio Dataset dataset.
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| It achieves the following results on the evaluation set:
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| - Loss: 0.1480
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| - Wer Ortho: 42.2207
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| - Wer: 7.0895
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|
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| ## Model description
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| More information needed
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|
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| ## Intended uses & limitations
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| More information needed
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|
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| ## Training and evaluation data
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| More information needed
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|
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| ## Training procedure
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|
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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 OptimizerNames.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: 4000
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| - mixed_precision_training: Native AMP
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|
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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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| | 0.0605 | 2.3923 | 500 | 0.0790 | 46.1564 | 7.7177 |
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| | 0.0281 | 4.7847 | 1000 | 0.0854 | 43.5270 | 7.3792 |
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| | 0.0085 | 7.1770 | 1500 | 0.1165 | 43.3261 | 7.2649 |
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| | 0.0051 | 9.5694 | 2000 | 0.1230 | 43.4601 | 7.0120 |
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| | 0.0031 | 11.9617 | 2500 | 0.1358 | 42.3045 | 6.8937 |
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| | 0.0025 | 14.3541 | 3000 | 0.1438 | 42.9744 | 6.9957 |
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| | 0.0035 | 16.7464 | 3500 | 0.1413 | 42.3547 | 6.8040 |
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| | 0.0017 | 19.1388 | 4000 | 0.1480 | 42.2207 | 7.0895 |
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| ### Framework versions
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|
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| - Transformers 4.48.3
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| - Pytorch 2.10.0+cu130
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| - Datasets 4.5.0
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| - Tokenizers 0.21.4
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| |
