End of training
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README.md
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metrics:
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- name: Wer
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type: wer
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value: 16.
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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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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Chinese English 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: 16.
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## Model description
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- learning_rate: 1e-05
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- train_batch_size: 2
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- eval_batch_size: 1
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- seed:
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps:
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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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metrics:
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- name: Wer
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type: wer
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value: 16.64813343923749
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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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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Chinese English dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3973
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- Wer: 16.6481
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## Model description
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- learning_rate: 1e-05
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- train_batch_size: 2
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- eval_batch_size: 1
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- seed: 44
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps: 1500
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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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| 0.027 | 1.6667 | 500 | 0.3876 | 16.6481 |
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| 0.0046 | 3.3333 | 1000 | 0.3926 | 16.5528 |
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| 0.0006 | 5.0 | 1500 | 0.3973 | 16.6481 |
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### Framework versions
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model.safetensors
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