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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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- whisper-event |
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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 Hindi - Shripad Bhat |
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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: hi |
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metrics: |
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- name: Wer |
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type: wer |
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value: 21.451908746990714 |
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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: FLEURS |
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type: google/fleurs |
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config: hi_in |
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split: test |
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args: hi |
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metrics: |
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- name: Wer |
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type: wer |
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value: 22.11 |
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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 Hindi - Shripad Bhat |
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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: 0.3909 |
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- Wer: 21.4519 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 1000 |
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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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| 0.4337 | 0.73 | 100 | 0.4874 | 47.5868 | |
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| 0.1894 | 1.47 | 200 | 0.3264 | 23.9482 | |
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| 0.1007 | 2.21 | 300 | 0.3101 | 22.5267 | |
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| 0.0984 | 2.94 | 400 | 0.3064 | 21.5723 | |
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| 0.0555 | 3.67 | 500 | 0.3325 | 22.0251 | |
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| 0.029 | 4.41 | 600 | 0.3439 | 21.4863 | |
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| 0.0163 | 5.15 | 700 | 0.3668 | 21.6468 | |
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| 0.0153 | 5.88 | 800 | 0.3756 | 21.4662 | |
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| 0.0081 | 6.62 | 900 | 0.3888 | 21.5035 | |
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| 0.0059 | 7.35 | 1000 | 0.3909 | 21.4519 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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