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--- |
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language: |
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- hi |
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base_model: nurzhanit/whisper-enhanced-ml |
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tags: |
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- hf-asr-leaderboard |
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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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config: default |
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split: None |
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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: 35.622895622895626 |
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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 [nurzhanit/whisper-enhanced-ml](https://huggingface.co/nurzhanit/whisper-enhanced-ml) 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: 0.0001 |
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- Wer: 35.6229 |
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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: 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: 100 |
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- training_steps: 1000 |
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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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| 3.2948 | 0.2688 | 50 | 2.0785 | 12.9293 | |
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| 1.4104 | 0.5376 | 100 | 1.1845 | 2.6263 | |
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| 0.5806 | 0.8065 | 150 | 0.3972 | 24.0404 | |
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| 0.0701 | 1.0753 | 200 | 0.0263 | 48.0471 | |
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| 0.0023 | 1.3441 | 250 | 0.0012 | 39.2593 | |
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| 0.0006 | 1.6129 | 300 | 0.0005 | 39.8653 | |
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| 0.0004 | 1.8817 | 350 | 0.0004 | 31.7508 | |
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| 0.0003 | 2.1505 | 400 | 0.0003 | 32.7609 | |
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| 0.0002 | 2.4194 | 450 | 0.0002 | 34.6801 | |
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| 0.0002 | 2.6882 | 500 | 0.0002 | 31.4141 | |
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| 0.0002 | 2.9570 | 550 | 0.0002 | 38.2155 | |
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| 0.0001 | 3.2258 | 600 | 0.0001 | 33.6364 | |
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| 0.0001 | 3.4946 | 650 | 0.0001 | 36.2290 | |
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| 0.0001 | 3.7634 | 700 | 0.0001 | 35.7239 | |
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| 0.0001 | 4.0323 | 750 | 0.0001 | 34.9158 | |
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| 0.0001 | 4.3011 | 800 | 0.0001 | 37.2727 | |
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| 0.0001 | 4.5699 | 850 | 0.0001 | 35.2862 | |
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| 0.0001 | 4.8387 | 900 | 0.0001 | 35.5892 | |
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| 0.0001 | 5.1075 | 950 | 0.0001 | 34.9158 | |
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| 0.0001 | 5.3763 | 1000 | 0.0001 | 35.6229 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.5.0+cu124 |
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- Datasets 3.0.2 |
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- Tokenizers 0.19.1 |
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