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--- |
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language: |
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- kn |
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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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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Kn - Bharat Ramanathan |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: google/fleurs |
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type: google/fleurs |
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config: kn_in |
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split: test |
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metrics: |
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- type: wer |
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value: 25.54 |
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name: WER |
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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 Kn - Bharat Ramanathan |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1398 |
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- Wer: 23.8167 |
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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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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 5000 |
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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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| 0.4126 | 0.1 | 500 | 2.2797 | 127.2639 | |
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| 0.2099 | 0.1 | 1000 | 0.1774 | 28.2494 | |
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| 0.1736 | 0.2 | 1500 | 0.1565 | 27.5733 | |
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| 0.1506 | 0.3 | 2000 | 0.1514 | 26.0331 | |
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| 0.1373 | 0.4 | 2500 | 0.1494 | 24.4177 | |
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| 0.1298 | 0.5 | 3000 | 0.1456 | 25.0563 | |
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| 0.1198 | 1.06 | 3500 | 0.1436 | 24.4177 | |
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| 0.1102 | 0.1 | 4000 | 0.1452 | 24.2675 | |
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| 0.1097 | 0.2 | 4500 | 0.1402 | 24.3050 | |
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| 0.105 | 0.3 | 5000 | 0.1398 | 23.8167 | |
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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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