End of training
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README.md
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metrics:
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model-index:
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- name: leenag/
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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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# leenag/
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Spoken Bible Corpus: Malasar dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer:
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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| 0.0002 | 56.8182 | 1250 | 0.
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| 0.0002 | 68.1818 | 1500 | 0.
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| 0.0002 | 79.5455 | 1750 | 0.
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| 0.0002 | 90.9091 | 2000 | 0.
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### Framework versions
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metrics:
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- wer
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model-index:
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- name: leenag/Norm_Malasar_Luke
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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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# leenag/Norm_Malasar_Luke
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Spoken Bible Corpus: Malasar dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5217
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- Wer: 52.4656
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-------:|:----:|:---------------:|:-------:|
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| 0.1406 | 11.3636 | 250 | 0.2856 | 55.7339 |
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| 0.0084 | 22.7273 | 500 | 0.4196 | 53.8417 |
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| 0.0022 | 34.0909 | 750 | 0.4641 | 53.3257 |
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| 0.0005 | 45.4545 | 1000 | 0.4835 | 51.6628 |
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| 0.0002 | 56.8182 | 1250 | 0.5049 | 52.0642 |
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| 0.0002 | 68.1818 | 1500 | 0.5149 | 52.4656 |
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| 0.0002 | 79.5455 | 1750 | 0.5200 | 52.2936 |
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| 0.0002 | 90.9091 | 2000 | 0.5217 | 52.4656 |
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### Framework versions
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model.safetensors
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