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---
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language:
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- zh
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license: apache-2.0
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tags:
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- whisper
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- generated_from_trainer
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datasets:
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- '-'
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model-index:
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- name: whisper-base-zh-20230718-1 - au2a
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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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should probably proofread and complete it, then remove this comment. -->
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# whisper-base-zh-20230718-1 - au2a
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the some hakka audio dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4142
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- Cer: 84.7926
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size: 64
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 128
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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: 500
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- training_steps: 10000
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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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| 0.0499 | 2.59 | 1000 | 0.3377 | 153.9019 |
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| 0.0035 | 5.17 | 2000 | 0.3506 | 138.4528 |
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| 0.0015 | 7.76 | 3000 | 0.3651 | 128.2541 |
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| 0.001 | 10.35 | 4000 | 0.3754 | 105.1522 |
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| 0.0005 | 12.94 | 5000 | 0.3841 | 90.0846 |
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| 0.0004 | 15.52 | 6000 | 0.3925 | 92.5134 |
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| 0.0002 | 18.11 | 7000 | 0.4011 | 86.3035 |
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| 0.0002 | 20.7 | 8000 | 0.4070 | 80.0219 |
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| 0.0001 | 23.29 | 9000 | 0.4118 | 82.5451 |
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| 0.0001 | 25.87 | 10000 | 0.4142 | 84.7926 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu117
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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