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pxaudio_vi_model
hoangvanvietanh/pxaudio_vi_model
pxaudio_vi_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 21, 2024
- SHA
- 067a5814
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_vi_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: 0.9727
- Wer: 44.4128
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: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0684 | 5.75 | 1000 | 0.7458 | 42.6363 |
| 0.0031 | 11.49 | 2000 | 0.8738 | 43.9632 |
| 0.001 | 17.24 | 3000 | 0.9290 | 44.3031 |
| 0.0015 | 22.99 | 4000 | 0.9625 | 44.4457 |
| 0.0005 | 28.74 | 5000 | 0.9727 | 44.4128 |
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 21, 2024