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--- |
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library_name: transformers |
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language: |
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- hi |
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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_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Hi - 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 11.0 |
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type: mozilla-foundation/common_voice_11_0 |
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args: 'config: hi, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 47.02479338842976 |
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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 Hi - 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 11.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5644 |
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- Wer: 47.0248 |
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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: 4 |
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- eval_batch_size: 8 |
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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: linear |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 1700 |
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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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| 0.5424 | 0.4854 | 100 | 0.6264 | 65.1653 | |
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| 0.4626 | 0.9709 | 200 | 0.5054 | 56.4463 | |
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| 0.2254 | 1.4563 | 300 | 0.4883 | 57.9752 | |
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| 0.1756 | 1.9417 | 400 | 0.4684 | 52.7273 | |
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| 0.0827 | 2.4272 | 500 | 0.4958 | 52.1901 | |
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| 0.0579 | 2.9126 | 600 | 0.4807 | 50.9091 | |
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| 0.0233 | 3.3981 | 700 | 0.5169 | 50.5372 | |
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| 0.0175 | 3.8835 | 800 | 0.5269 | 49.1736 | |
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| 0.0061 | 4.3689 | 900 | 0.5338 | 47.8099 | |
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| 0.007 | 4.8544 | 1000 | 0.5347 | 50.0 | |
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| 0.0021 | 5.3398 | 1100 | 0.5416 | 47.8926 | |
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| 0.0034 | 5.8252 | 1200 | 0.5490 | 49.2562 | |
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| 0.0014 | 6.3107 | 1300 | 0.5583 | 47.7686 | |
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| 0.0011 | 6.7961 | 1400 | 0.5583 | 47.0661 | |
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| 0.001 | 7.2816 | 1500 | 0.5605 | 46.9008 | |
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| 0.0008 | 7.7670 | 1600 | 0.5632 | 47.0248 | |
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| 0.0008 | 8.2524 | 1700 | 0.5644 | 47.0248 | |
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### Framework versions |
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- Transformers 4.53.2 |
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- Pytorch 2.7.1+cu118 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.2 |
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