wav2vec2-korean-v3
This model is a fine-tuned version of Hyuk/wav2vec2-korean-v3 on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.9860
- eval_wer: 0.3797
- eval_runtime: 56.5559
- eval_samples_per_second: 10.167
- eval_steps_per_second: 1.273
- epoch: 9.73
- step: 12300
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: 400
- num_epochs: 10
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
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