End of training
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README.md
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license: apache-2.0
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base_model: openai/whisper-
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tags:
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- generated_from_trainer
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metrics:
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# chinese-english-whisper-finetune
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This model is a fine-tuned version of [openai/whisper-
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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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- seed: 42
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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:
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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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| 0.
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### Framework versions
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---
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- generated_from_trainer
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metrics:
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# chinese-english-whisper-finetune
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6649
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- Wer: 59.1595
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- Mer: 50.2514
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## Model description
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- seed: 42
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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: 50
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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 | Mer |
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|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|
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| 0.8854 | 0.2907 | 200 | 0.8722 | 59.5905 | 55.9986 |
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| 0.6339 | 0.5814 | 400 | 0.6649 | 59.1595 | 50.2514 |
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### Framework versions
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generation_config.json
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runs/May28_01-49-27_bef95ffba252/events.out.tfevents.1716860972.bef95ffba252.256.4
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