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pxaudio_ja_model
hoangvanvietanh/pxaudio_ja_model
pxaudio_ja_model is a automatic speech recognition model from hoangvanvietanh. 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
- Feb 20, 2024
- Updated
- Feb 20, 2024
- SHA
- 479e558b
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. -->
pxaudio_ja_model
This model is a fine-tuned version of openai/whisper-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4151
- Wer: 781.0535
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: 8
- 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: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3548 | 1.46 | 1000 | 0.4264 | 207.7824 |
| 0.2464 | 2.91 | 2000 | 0.4010 | 406.9152 |
| 0.1319 | 4.37 | 3000 | 0.4091 | 637.1775 |
| 0.1065 | 5.82 | 4000 | 0.4151 | 781.0535 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.2.0+cu118
- Datasets 2.16.1
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Feb 20, 2024
- Updated
- Feb 20, 2024