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wav2vec2-large-xlsr-korean-demo3
NX2411/wav2vec2-large-xlsr-korean-demo3
wav2vec2-large-xlsr-korean-demo3 is a automatic speech recognition model from NX2411. 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
- wav2vec2
- Access
- Public
- Created
- Aug 14, 2022
- Updated
- Aug 14, 2022
- SHA
- 8802cce5
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. -->
wav2vec2-large-xlsr-korean-demo3
This model is a fine-tuned version of NX2411/wav2vec2-large-xlsr-korean-demo-no-LM on the zeroth_korean dataset. It achieves the following results on the evaluation set:
- Loss: 0.8265
- Wer: 0.5090
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.6157 | 2.6 | 400 | 0.6686 | 0.6386 |
| 0.4643 | 5.19 | 800 | 0.7036 | 0.6086 |
| 0.3038 | 7.79 | 1200 | 0.6960 | 0.5817 |
| 0.2229 | 10.39 | 1600 | 0.7358 | 0.5571 |
| 0.178 | 12.99 | 2000 | 0.8221 | 0.5636 |
| 0.153 | 15.58 | 2400 | 0.8575 | 0.5691 |
| 0.129 | 18.18 | 2800 | 0.7809 | 0.5297 |
| 0.1141 | 20.78 | 3200 | 0.8077 | 0.5441 |
| 0.0994 | 23.38 | 3600 | 0.8087 | 0.5209 |
| 0.0917 | 25.97 | 4000 | 0.8176 | 0.5149 |
| 0.0823 | 28.57 | 4400 | 0.8265 | 0.5090 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Aug 14, 2022
- Updated
- Aug 14, 2022