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cv9-special-batch4-base
TheRains/cv9-special-batch4-base
cv9-special-batch4-base is a automatic speech recognition model from TheRains. 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
- Aug 6, 2023
- Updated
- Aug 6, 2023
- SHA
- a407c840
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 Small Indonesian
This model is a fine-tuned version of openai/whisper-base on the mozilla-foundation/common_voice_9_0 id dataset. It achieves the following results on the evaluation set:
- Loss: 0.3697
- Wer: 23.4000
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: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5013 | 0.48 | 1000 | 0.4523 | 28.5990 |
| 0.4145 | 0.97 | 2000 | 0.4067 | 25.8109 |
| 0.2437 | 1.45 | 3000 | 0.3821 | 24.3800 |
| 0.2566 | 1.94 | 4000 | 0.3695 | 23.9798 |
| 0.1161 | 2.42 | 5000 | 0.3697 | 23.4000 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- id
- Created
- Aug 6, 2023
- Updated
- Aug 6, 2023