Downloads · 30 days
15
10% of all-time downloads
whisper-tiny_to_chinese_accent
lilpharaoh1/whisper-tiny_to_chinese_accent
whisper-tiny_to_chinese_accent is a automatic speech recognition model from lilpharaoh1. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
151
Public
Parameters
37.8M
3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors151 MB · 99%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Mar 8, 2025
- Updated
- Mar 11, 2025
- SHA
- 21f54394
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 Chinese
This model is a fine-tuned version of openai/whisper-tiny on the Chinese English dataset. It achieves the following results on the evaluation set:
- Loss: 0.3438
- Wer: 14.5671
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: 2
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3038 | 0.6418 | 500 | 0.3439 | 16.0921 |
| 0.1232 | 1.2837 | 1000 | 0.3204 | 14.4241 |
| 0.1497 | 1.9255 | 1500 | 0.3169 | 13.9952 |
| 0.0462 | 2.5674 | 2000 | 0.3199 | 13.3916 |
| 0.0079 | 3.2092 | 2500 | 0.3363 | 14.5830 |
| 0.0125 | 3.8511 | 3000 | 0.3329 | 13.8681 |
| 0.003 | 4.4929 | 3500 | 0.3419 | 14.2653 |
| 0.0046 | 5.1348 | 4000 | 0.3438 | 14.5671 |
Framework versions
- Transformers 4.50.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Mar 8, 2025
- Updated
- Mar 11, 2025