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whisper-tiny-ja-puct-4k
CheeLi03/whisper-tiny-ja-puct-4k
whisper-tiny-ja-puct-4k is a machine learning model from CheeLi03. 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
- Dec 8, 2024
- Updated
- Dec 8, 2024
- SHA
- adbf10b9
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 Tiny Japanese - Chee Li
This model is a fine-tuned version of openai/whisper-tiny on the Google Fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.8285
- Wer: 347.5842
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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.161 | 6.25 | 1000 | 0.6874 | 1070.8638 |
| 0.0196 | 12.5 | 2000 | 0.7621 | 1201.0249 |
| 0.0063 | 18.75 | 3000 | 0.8127 | 416.8375 |
| 0.0046 | 25.0 | 4000 | 0.8285 | 347.5842 |
Framework versions
- Transformers 4.43.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- whisper
- License
- apache-2.0
- Languages
- ja
- Created
- Dec 8, 2024
- Updated
- Dec 8, 2024