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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 - 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: Common Voice 13 |
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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: 11.631950481621868 |
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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 - Sanchit Gandhi |
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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 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3085 |
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- Wer Ortho: 58.3606 |
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- Wer: 11.6320 |
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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: constant_with_warmup |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 4000 |
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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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| 0.1119 | 1.63 | 500 | 0.1645 | 60.8817 | 12.9082 | |
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| 0.0457 | 3.26 | 1000 | 0.1677 | 59.3286 | 11.7450 | |
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| 0.0317 | 4.89 | 1500 | 0.1903 | 58.3258 | 11.3798 | |
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| 0.012 | 6.51 | 2000 | 0.2292 | 58.0403 | 11.7085 | |
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| 0.007 | 8.14 | 2500 | 0.2595 | 56.9538 | 11.0982 | |
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| 0.0061 | 9.77 | 3000 | 0.2606 | 56.6404 | 10.8878 | |
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| 0.0052 | 11.4 | 3500 | 0.2737 | 56.8911 | 11.1799 | |
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| 0.0033 | 13.03 | 4000 | 0.3085 | 58.3606 | 11.6320 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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