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--- |
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language: |
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- yue |
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license: apache-2.0 |
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base_model: openai/whisper-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Base Bisyllabic Jyutping |
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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 Bisyllabic Jyutping |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the AlienKevin/cantone dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3613 |
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- Wer: 41.25 |
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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: 32 |
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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: 400 |
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- training_steps: 2400 |
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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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| 0.1093 | 0.08 | 400 | 0.3231 | 51.0417 | |
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| 0.0389 | 0.15 | 800 | 0.2922 | 40.4861 | |
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| 0.0237 | 0.23 | 1200 | 0.3020 | 37.7778 | |
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| 0.0131 | 0.3 | 1600 | 0.3561 | 42.7083 | |
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| 0.01 | 0.38 | 2000 | 0.3817 | 44.6528 | |
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| 0.0095 | 0.46 | 2400 | 0.3613 | 41.25 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.0 |
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- Datasets 2.14.5 |
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- Tokenizers 0.15.1 |
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