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--- |
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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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- mozilla-foundation/common_voice_13_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Dv - Mark Redito |
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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: Common Voice 13 - Dhivehi |
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type: mozilla-foundation/common_voice_13_0 |
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config: dv |
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split: test |
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args: dv |
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metrics: |
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- name: Wer |
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type: wer |
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value: 10.863441944570019 |
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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 Dv - Mark Redito |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 - Dhivehi dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3041 |
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- Wer Ortho: 56.8563 |
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- Wer: 10.8634 |
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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: 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: 50 |
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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 Ortho | Wer | |
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|:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:| |
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| 0.121 | 1.6287 | 500 | 0.1725 | 62.6994 | 13.3481 | |
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| 0.0435 | 3.2573 | 1000 | 0.1651 | 57.9567 | 11.5659 | |
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| 0.0296 | 4.8860 | 1500 | 0.1829 | 58.1517 | 11.6076 | |
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| 0.0071 | 6.5147 | 2000 | 0.2369 | 58.8203 | 11.4198 | |
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| 0.0016 | 8.1433 | 2500 | 0.2718 | 57.9915 | 11.2129 | |
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| 0.0011 | 9.7720 | 3000 | 0.2923 | 57.1349 | 11.1242 | |
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| 0.0002 | 11.4007 | 3500 | 0.3001 | 56.8633 | 10.9173 | |
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| 0.0002 | 13.0293 | 4000 | 0.3041 | 56.8563 | 10.8634 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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