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--- |
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language: |
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- as |
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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 Medium Assamese - Drishti Sharma |
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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: as |
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split: test |
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args: as |
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metrics: |
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- name: Wer |
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type: wer |
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value: 30.650219527493206 |
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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 Assamese - Drishti Sharma |
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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: 0.5164 |
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- Wer: 30.6502 |
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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: 4 |
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- total_train_batch_size: 64 |
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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: 150 |
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- training_steps: 500 |
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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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| 1.1539 | 3.02 | 50 | 0.7835 | 89.0863 | |
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| 0.2089 | 7.0 | 100 | 0.3041 | 37.7378 | |
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| 0.0428 | 10.02 | 150 | 0.3760 | 33.9118 | |
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| 0.0141 | 14.01 | 200 | 0.4400 | 31.6538 | |
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| 0.0059 | 17.02 | 250 | 0.4472 | 31.2774 | |
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| 0.0022 | 21.01 | 300 | 0.4696 | 31.0475 | |
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| 0.0005 | 24.03 | 350 | 0.5032 | 31.2983 | |
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| 0.0003 | 28.02 | 400 | 0.5051 | 30.7129 | |
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| 0.0003 | 32.0 | 450 | 0.5137 | 30.7338 | |
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| 0.0003 | 35.02 | 500 | 0.5164 | 30.6502 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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