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whisper-small-cantonese-v1
austinhwang/whisper-small-cantonese-v1
whisper-small-cantonese-v1 is a machine learning model from austinhwang. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Oct 2, 2024
- Updated
- Oct 3, 2024
- SHA
- 1d7e4c9f
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Whisper Small Cantonese
This model is a fine-tuned version of openai/whisper-small on the Multi-Domain Cantonese Corpus (MDCC) dataset. It achieves the following results on the evaluation set:
- Loss: 0.1055
- Cer: 15.5362
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.038 | 0.9606 | 1000 | 0.1068 | 20.1761 |
| 0.0436 | 1.9212 | 2000 | 0.1055 | 15.5362 |
Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.4.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
- Library
- peft
- Type
- whisper
- License
- apache-2.0
- Languages
- yue
- Created
- Oct 2, 2024
- Updated
- Oct 3, 2024