End of training
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README.md
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base_model: openai/whisper-base
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tags:
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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-base-zh
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results: []
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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### Training results
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| Training Loss | Epoch
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### Framework versions
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base_model: openai/whisper-base
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tags:
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- generated_from_trainer
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model-index:
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- name: whisper-base-zh
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results: []
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3717
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- Cer: 15.8574
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 0.5054 | 0.25 | 100 | 0.4976 | 21.1112 |
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| 0.4526 | 0.5 | 200 | 0.4336 | 18.1724 |
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| 0.4131 | 0.75 | 300 | 0.4105 | 20.9577 |
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| 0.3772 | 1.0 | 400 | 0.3952 | 17.7166 |
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| 0.297 | 1.25 | 500 | 0.3872 | 17.8054 |
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| 0.2837 | 1.5 | 600 | 0.3798 | 18.3740 |
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| 0.2801 | 1.75 | 700 | 0.3747 | 15.5887 |
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| 0.2776 | 2.0 | 800 | 0.3677 | 16.4739 |
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| 0.1981 | 2.25 | 900 | 0.3697 | 17.1169 |
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| 0.2198 | 2.5 | 1000 | 0.3662 | 16.7474 |
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| 0.2133 | 2.75 | 1100 | 0.3624 | 15.8334 |
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| 0.2015 | 3.0 | 1200 | 0.3597 | 15.9798 |
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| 0.1597 | 3.25 | 1300 | 0.3633 | 15.7902 |
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| 0.1796 | 3.5 | 1400 | 0.3611 | 16.7834 |
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| 0.145 | 3.75 | 1500 | 0.3607 | 16.6947 |
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| 0.1581 | 4.0 | 1600 | 0.3602 | 16.2005 |
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| 0.1235 | 4.25 | 1700 | 0.3639 | 14.9530 |
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| 0.1118 | 4.5 | 1800 | 0.3674 | 15.3344 |
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| 0.1266 | 4.75 | 1900 | 0.3654 | 15.3728 |
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| 0.1214 | 5.0 | 2000 | 0.3644 | 15.3248 |
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| 0.0911 | 5.25 | 2100 | 0.3678 | 15.8238 |
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| 0.0969 | 5.5 | 2200 | 0.3703 | 15.8046 |
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| 0.0956 | 5.75 | 2300 | 0.3717 | 15.8574 |
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### Framework versions
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runs/Nov19_05-10-51_bed12d1fbe20/events.out.tfevents.1731993054.bed12d1fbe20.455.0
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