End of training
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README.md
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- generated_from_trainer
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datasets:
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- Chinese_english
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metrics:
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- wer
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model-index:
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- name: Whisper tiny Chinese with pitch pertubation
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Chinese English
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type: Chinese_english
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args: 'config: default, split: test'
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metrics:
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- name: Wer
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type: wer
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value: 14.996028594122318
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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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## 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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| 0.2421 | 0.2222 | 200 | 0.4202 | 23.3360 |
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| 0.2459 | 0.4444 | 400 | 0.3732 | 16.8070 |
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| 0.2165 | 0.6667 | 600 | 0.3562 | 16.3463 |
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| 0.0863 | 0.8889 | 800 | 0.3516 | 15.9492 |
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| 0.019 | 1.1111 | 1000 | 0.3548 | 15.6632 |
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| 0.0294 | 1.3333 | 1200 | 0.3520 | 14.9960 |
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### Framework versions
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- generated_from_trainer
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datasets:
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- Chinese_english
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model-index:
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- name: Whisper tiny Chinese with pitch pertubation
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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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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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- eval_loss: 0.3707
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- eval_wer: 15.5838
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- eval_runtime: 191.7975
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- eval_samples_per_second: 3.28
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- eval_steps_per_second: 3.28
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- epoch: 1.7778
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- step: 1600
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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: 43
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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: 2000
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### Framework versions
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model.safetensors
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runs/May26_13-35-39_4eeb890686c0/events.out.tfevents.1748266547.4eeb890686c0.4277.0
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