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whisper-SE-00
Taeyeun72/whisper-SE-00
whisper-SE-00 is a automatic speech recognition model from Taeyeun72. 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
- Nov 26, 2023
- Updated
- Nov 26, 2023
- SHA
- 655f49c4
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-SE-00
This model is a fine-tuned version of openai/whisper-small on the whisper-SE-00 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Wer: 0.0
- Cer: 0.0
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 6.2305 | 0.83 | 10 | 5.1889 | 0.0 | 0.0 |
| 1.1143 | 1.67 | 20 | 0.2985 | 0.0 | 0.0 |
| 0.1005 | 2.5 | 30 | 0.0079 | 0.0 | 0.0 |
| 0.0022 | 3.33 | 40 | 0.0001 | 0.0 | 0.0 |
| 0.0001 | 4.17 | 50 | 0.0000 | 0.0 | 0.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ko
- Created
- Nov 26, 2023
- Updated
- Nov 26, 2023