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yt-special-batch12-lr4-small-clean
TheRains/yt-special-batch12-lr4-small-clean
yt-special-batch12-lr4-small-clean 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 16, 2023
- Updated
- Aug 16, 2023
- SHA
- 64e7e2fa
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 Small Indonesian
This model is a fine-tuned version of openai/whisper-small on the yt id dataset. It achieves the following results on the evaluation set:
- Loss: 0.5610
- Wer: 28.9388
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: 0.0001
- train_batch_size: 12
- eval_batch_size: 6
- 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 |
|---|---|---|---|---|
| 0.9631 | 0.41 | 1000 | 1.0244 | 52.1500 |
| 0.7929 | 0.81 | 2000 | 0.8372 | 57.3099 |
| 0.4189 | 1.22 | 3000 | 0.7163 | 42.6643 |
| 0.3195 | 1.62 | 4000 | 0.6271 | 31.2178 |
| 0.1179 | 2.03 | 5000 | 0.5610 | 28.9388 |
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
- Created
- Aug 16, 2023
- Updated
- Aug 16, 2023