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whisper-small-zh_chinese
jun-han/whisper-small-zh_chinese
whisper-small-zh_chinese is a machine learning model from jun-han. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Aug 4, 2024
- Updated
- Aug 6, 2024
- SHA
- 8479e72e
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-Keep-train
This model is a fine-tuned version of openai/whisper-small on the Voice_Data_Collection dataset. It achieves the following results on the evaluation set:
- Loss: 4.0346
- Cer: 736.0397
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: 16
- 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: 50
- training_steps: 200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 3.4342 | 0.8065 | 50 | 4.1335 | 275.1466 |
| 3.0912 | 1.6129 | 100 | 4.1066 | 265.1782 |
| 2.7991 | 2.4194 | 150 | 4.0602 | 318.1326 |
| 2.6758 | 3.2258 | 200 | 4.0346 | 736.0397 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- whisper
- License
- apache-2.0
- Languages
- zh
- Created
- Aug 4, 2024
- Updated
- Aug 6, 2024