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--- |
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license: apache-2.0 |
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language: |
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- pa |
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tags: |
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- generated_from_trainer |
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- whisper-event |
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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 Punjabi |
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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: mozilla-foundation/common_voice_11_0 pa-IN |
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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: 39.04688700999232 |
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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 Punjabi |
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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: 0.5991 |
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- Wer: 39.0469 |
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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: 64 |
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- eval_batch_size: 32 |
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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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- training_steps: 400 |
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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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| 0.4346 | 5.01 | 50 | 0.3902 | 49.6797 | |
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| 0.0728 | 11.0 | 100 | 0.3811 | 40.7379 | |
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| 0.009 | 16.02 | 150 | 0.4924 | 39.5081 | |
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| 0.0028 | 22.0 | 200 | 0.5309 | 38.7394 | |
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| 0.0008 | 27.02 | 250 | 0.5687 | 38.6369 | |
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| 0.0006 | 33.01 | 300 | 0.5859 | 39.0213 | |
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| 0.0005 | 38.02 | 350 | 0.5954 | 39.0981 | |
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| 0.0005 | 44.01 | 400 | 0.5991 | 39.0469 | |
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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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