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whisper_CN
Zipei-KTH/whisper_CN
whisper_CN is a automatic speech recognition model from Zipei-KTH. 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. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Dec 6, 2023
- Updated
- Dec 13, 2023
- SHA
- de297e0c
Base models
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_CN
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2598
- Wer: 266.9357
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: 8
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0378 | 2.84 | 2000 | 0.1870 | 195.0945 |
| 0.0023 | 5.67 | 4000 | 0.2071 | 240.6880 |
| 0.0006 | 8.51 | 6000 | 0.2149 | 160.2463 |
| 0.0003 | 11.35 | 8000 | 0.2226 | 164.5148 |
| 0.0002 | 28.4 | 10000 | 0.2332 | 160.5649 |
| 0.0002 | 34.08 | 12000 | 0.2460 | 301.9112 |
| 0.0001 | 39.76 | 14000 | 0.2598 | 266.9357 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Dec 6, 2023
- Updated
- Dec 13, 2023