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update model card README.md
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README.md
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- generated_from_trainer
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datasets:
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- addy88/sanskrit-asr-84
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metrics:
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- wer
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model-index:
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- name:
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results:
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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: addy88/sanskrit-asr-84
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type: addy88/sanskrit-asr-84
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config: null
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split: None
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args: 'split: test'
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metrics:
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- name: Wer
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type: wer
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value: 87.80468001493968
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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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#
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the addy88/sanskrit-asr-84 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7560
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- Wer: 87.8047
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## Model description
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- lr_scheduler_warmup_steps: 5
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- training_steps: 100
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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| 1.5226 | 0.0 | 10 | 1.1482 | 96.8367 |
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| 1.0625 | 0.01 | 20 | 0.9524 | 96.0036 |
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| 0.8662 | 0.01 | 30 | 0.8896 | 94.1134 |
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| 0.8763 | 0.01 | 40 | 0.8467 | 90.5783 |
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| 0.8338 | 0.02 | 50 | 0.8134 | 90.5734 |
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| 0.802 | 0.02 | 60 | 0.7916 | 88.7546 |
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| 0.7823 | 0.02 | 70 | 0.7781 | 89.0323 |
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| 0.7241 | 0.03 | 80 | 0.7681 | 89.0486 |
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| 0.7404 | 0.03 | 90 | 0.7585 | 88.1489 |
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| 0.7086 | 0.03 | 100 | 0.7560 | 87.8047 |
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### Framework versions
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- Transformers 4.30.2
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- generated_from_trainer
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datasets:
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- addy88/sanskrit-asr-84
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model-index:
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- name: Whisper Small Sanskasr - bvkb
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results: []
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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 Sanskasr - bvkb
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the addy88/sanskrit-asr-84 dataset.
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## Model description
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- lr_scheduler_warmup_steps: 5
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- training_steps: 100
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### Framework versions
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- Transformers 4.30.2
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