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--- |
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language: |
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- pa |
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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 Panjabi |
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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: pa-IN |
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split: test |
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args: pa-IN |
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metrics: |
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- name: Wer |
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type: wer |
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value: 36.10043556238791 |
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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 Panjabi |
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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: 0.6084 |
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- Wer: 36.1004 |
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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: 64 |
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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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| 0.349 | 5.86 | 100 | 0.4664 | 49.1929 | |
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| 0.0175 | 11.74 | 200 | 0.4633 | 39.1494 | |
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| 0.0052 | 17.63 | 300 | 0.5317 | 37.7146 | |
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| 0.0014 | 23.51 | 400 | 0.5521 | 36.4079 | |
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| 0.0009 | 29.4 | 500 | 0.5731 | 35.4599 | |
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| 0.0002 | 35.29 | 600 | 0.5806 | 35.6649 | |
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| 0.0001 | 41.17 | 700 | 0.5933 | 35.7161 | |
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| 0.0001 | 47.06 | 800 | 0.6016 | 35.9211 | |
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| 0.0001 | 52.91 | 900 | 0.6067 | 36.0492 | |
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| 0.0001 | 58.8 | 1000 | 0.6084 | 36.1004 | |
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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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