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--- |
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language: |
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- hi |
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license: apache-2.0 |
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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: hi |
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split: test |
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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: 65.9189029035808 |
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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: 0.5964 |
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- Wer: 65.9189 |
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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: 50 |
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- training_steps: 100 |
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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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| 1.9954 | 0.02 | 10 | 2.0896 | 111.0937 | |
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| 1.4388 | 0.05 | 20 | 1.4497 | 106.8780 | |
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| 1.0201 | 0.07 | 30 | 0.9971 | 110.6281 | |
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| 0.7901 | 0.1 | 40 | 0.8241 | 80.4199 | |
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| 0.6572 | 0.12 | 50 | 0.7474 | 95.7039 | |
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| 0.6096 | 0.15 | 60 | 0.6896 | 85.3890 | |
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| 0.5228 | 0.17 | 70 | 0.6508 | 75.9672 | |
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| 0.5413 | 0.2 | 80 | 0.6219 | 67.5527 | |
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| 0.5319 | 0.22 | 90 | 0.6047 | 67.7516 | |
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| 0.4952 | 0.24 | 100 | 0.5964 | 65.9189 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.8.1.dev0 |
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- Tokenizers 0.13.2 |
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