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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-small-zh-20230714-1 - 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-small-zh-20230714-1 - 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: 0.3765
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- Cer: 85.1930
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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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- 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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| 0.1072 | 1.29 | 1000 | 0.3484 | 60.5235 |
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| 0.0176 | 2.59 | 2000 | 0.3341 | 58.3327 |
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| 0.0031 | 3.88 | 3000 | 0.3407 | 76.3806 |
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| 0.0015 | 5.17 | 4000 | 0.3496 | 72.6222 |
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| 0.001 | 6.47 | 5000 | 0.3591 | 64.4028 |
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| 0.0012 | 7.76 | 6000 | 0.3598 | 51.4316 |
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| 0.0005 | 9.06 | 7000 | 0.3663 | 69.3171 |
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| 0.0004 | 10.35 | 8000 | 0.3696 | 81.2420 |
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| 0.0003 | 11.64 | 9000 | 0.3746 | 84.8833 |
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| 0.0003 | 12.94 | 10000 | 0.3765 | 85.1930 |
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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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