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update model card README.md
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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name:
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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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#
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This model
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## Model description
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- training_steps: 5000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.26.0.dev0
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language:
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- te
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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 Te - Bharat Ramanathan
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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 Te - 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: 0.1863
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- Wer: 31.6456
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## Model description
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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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| 0.1637 | 0.1 | 500 | 0.2092 | 42.9406 |
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| 0.1459 | 0.2 | 1000 | 0.2025 | 35.9299 |
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| 0.1348 | 0.3 | 1500 | 0.1990 | 35.4917 |
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| 0.1309 | 0.4 | 2000 | 0.1974 | 33.7390 |
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| 0.1253 | 0.5 | 2500 | 0.1974 | 34.0312 |
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| 0.1209 | 0.6 | 3000 | 0.1909 | 32.4732 |
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| 0.1139 | 1.05 | 3500 | 0.1899 | 31.7916 |
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| 0.1043 | 1.15 | 4000 | 0.1868 | 31.6456 |
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| 0.0996 | 1.25 | 4500 | 0.1874 | 31.6943 |
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| 0.1002 | 1.35 | 5000 | 0.1863 | 31.6456 |
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### Framework versions
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- Transformers 4.26.0.dev0
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