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---
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license: apache-2.0
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base_model: Wellyowo/whisper-tiny-zh-tw
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_13_0
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metrics:
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- wer
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model-index:
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- name: lab9_whisper-tiny-zh-tw
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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: common_voice_13_0
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type: common_voice_13_0
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config: zh-TW
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split: test
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args: zh-TW
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metrics:
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- name: Wer
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type: wer
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value: 62.13592233009708
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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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# lab9_whisper-tiny-zh-tw
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This model is a fine-tuned version of [Wellyowo/whisper-tiny-zh-tw](https://huggingface.co/Wellyowo/whisper-tiny-zh-tw) on the common_voice_13_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6336
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- Wer Ortho: 64.0
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- Wer: 62.1359
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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: 1e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant_with_warmup
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- lr_scheduler_warmup_steps: 50
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- training_steps: 4000
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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 | Wer Ortho | Wer |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
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| 0.0088 | 0.6882 | 500 | 0.5502 | 60.0 | 61.1650 |
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| 0.0051 | 1.3765 | 1000 | 0.5735 | 65.0 | 64.0777 |
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| 0.0068 | 2.0647 | 1500 | 0.5820 | 63.0 | 63.1068 |
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| 0.0021 | 2.7529 | 2000 | 0.5955 | 62.0 | 61.1650 |
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| 0.0039 | 3.4412 | 2500 | 0.5858 | 62.0 | 61.1650 |
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| 0.0018 | 4.1294 | 3000 | 0.5981 | 63.0 | 61.1650 |
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| 0.0019 | 4.8176 | 3500 | 0.6322 | 63.0 | 61.1650 |
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| 0.0102 | 5.5058 | 4000 | 0.6336 | 64.0 | 62.1359 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.0+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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