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wavlm-base-plus_zh_tw_ver3
christw16/wavlm-base-plus_zh_tw_ver3
wavlm-base-plus_zh_tw_ver3 is a automatic speech recognition model from christw16. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- wavlm
- Access
- Public
- Created
- Mar 17, 2023
- Updated
- Mar 17, 2023
- SHA
- a3bb068e
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. -->
wavlm-base-plus_zh_tw_ver3
This model is a fine-tuned version of microsoft/wavlm-base-plus on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 11.5929
- Wer: 1.0
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: 7.5e-05
- train_batch_size: 32
- 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: 2000
- num_epochs: 6.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 82.628 | 2.5 | 500 | 79.5587 | 1.0 |
| 17.5635 | 5.0 | 1000 | 11.5929 | 1.0 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 1.12.0+cu102
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wavlm
- Created
- Mar 17, 2023
- Updated
- Mar 17, 2023