End of training
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README.md
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This model is a fine-tuned version of [ZhihCheng/whisper-base-zh](https://huggingface.co/ZhihCheng/whisper-base-zh) 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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- Wer: 75
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## Model description
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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: 25
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- training_steps:
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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.
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| 0.
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### Framework versions
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This model is a fine-tuned version of [ZhihCheng/whisper-base-zh](https://huggingface.co/ZhihCheng/whisper-base-zh) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1986
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- Wer: 68.75
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## Model description
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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: 25
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- training_steps: 500
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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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| 0.0375 | 0.85 | 50 | 0.1724 | 68.75 |
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| 0.0164 | 1.69 | 100 | 0.1800 | 68.75 |
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| 0.0044 | 2.54 | 150 | 0.1788 | 68.75 |
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| 0.0031 | 3.39 | 200 | 0.1927 | 68.75 |
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| 0.0009 | 4.24 | 250 | 0.1736 | 62.5 |
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| 0.0009 | 5.08 | 300 | 0.1984 | 75.0 |
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| 0.0006 | 5.93 | 350 | 0.2019 | 75.0 |
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| 0.0005 | 6.78 | 400 | 0.1988 | 75.0 |
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| 0.0005 | 7.63 | 450 | 0.1989 | 68.75 |
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| 0.0005 | 8.47 | 500 | 0.1986 | 68.75 |
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### Framework versions
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model.safetensors
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runs/Feb29_10-50-26_v2rlitctr1709172647552-ts7bt/events.out.tfevents.1709175078.v2rlitctr1709172647552-ts7bt.773.1
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