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whisper_finetune_ksponspeech_partial_40epoch
Jungwonchang/whisper_finetune_ksponspeech_partial_40epoch
whisper_finetune_ksponspeech_partial_40epoch is a automatic speech recognition model from Jungwonchang. 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
- Jul 24, 2023
- Updated
- Jul 25, 2023
- SHA
- 1ba20417
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 large-v2, KsponSpeech Partial 10 epochs
This model is a fine-tuned version of openai/whisper-large-v2 on the KsponSpeech dataset. It achieves the following results on the evaluation set:
- Loss: 0.0194
- Wer: 25.7141
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: 16
- 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: 300
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2225 | 1.15 | 100 | 0.1394 | 27.9769 |
| 0.0507 | 3.11 | 200 | 0.0449 | 14.9640 |
| 0.0114 | 5.07 | 300 | 0.0194 | 25.7141 |
Framework versions
- Transformers 4.31.0
- Pytorch 1.12.1+cu116
- Datasets 2.14.0
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- kr
- Created
- Jul 24, 2023
- Updated
- Jul 25, 2023