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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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base_model: openai/whisper-tiny |
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tags: |
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- generated_from_trainer |
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datasets: |
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- formospeech/tat_asr_aligned |
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model-index: |
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- name: Whisper Tiny Taiwanese Simulated Android |
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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 Tiny Taiwanese Simulated Android |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the TAT ASR Aligned dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6140 |
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- Cer: 11.1506 |
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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: 0.0001 |
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- train_batch_size: 64 |
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- eval_batch_size: 32 |
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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: 681 |
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- training_steps: 6810 |
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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 | Cer | |
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|:-------------:|:------:|:----:|:---------------:|:-------:| |
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| 0.345 | 0.9985 | 681 | 0.4722 | 17.2090 | |
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| 0.2022 | 1.9971 | 1362 | 0.4060 | 13.0439 | |
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| 0.1228 | 2.9956 | 2043 | 0.4379 | 13.2219 | |
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| 0.0721 | 3.9941 | 2724 | 0.4696 | 12.3827 | |
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| 0.0406 | 4.9927 | 3405 | 0.5141 | 12.5748 | |
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| 0.021 | 5.9912 | 4086 | 0.5437 | 12.2795 | |
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| 0.0107 | 6.9897 | 4767 | 0.5696 | 11.8216 | |
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| 0.0034 | 7.9883 | 5448 | 0.5935 | 11.4186 | |
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| 0.0011 | 8.9868 | 6129 | 0.6080 | 11.2588 | |
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| 0.0006 | 9.9853 | 6810 | 0.6140 | 11.1506 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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