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whisper_hyojin4
hyojin99/whisper_hyojin4
whisper_hyojin4 is a automatic speech recognition model from hyojin99. 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
- Mar 24, 2024
- Updated
- Mar 26, 2024
- SHA
- 73fda2ad
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. -->
ft_model
This model is a fine-tuned version of openai/whisper-base on the EBRC dataset. It achieves the following results on the evaluation set:
- Loss: 0.3928
- Cer: 16.6510
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: 64
- eval_batch_size: 32
- 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: 3125
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.4643 | 0.83 | 625 | 0.4565 | 20.5573 |
| 0.2593 | 1.67 | 1250 | 0.4113 | 17.9447 |
| 0.1449 | 2.5 | 1875 | 0.3965 | 17.4427 |
| 0.0774 | 3.33 | 2500 | 0.3921 | 16.7845 |
| 0.0433 | 4.17 | 3125 | 0.3928 | 16.6510 |
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ko
- Created
- Mar 24, 2024
- Updated
- Mar 26, 2024