jaeyeon / korean-aihub-learning-math-16batch

huggingface.co
Total runs: 34
24-hour runs: 4
7-day runs: 8
30-day runs: 8
Model's Last Updated: July 28 2022
automatic-speech-recognition

Introduction of korean-aihub-learning-math-16batch

Model Details of korean-aihub-learning-math-16batch

korean-aihub-learning-math-16batch

This model is a fine-tuned version of kresnik/wav2vec2-large-xlsr-korean on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1497
  • Wer: 0.5260
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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • 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
No log 1.0 20 32.0718 1.0
No log 2.0 40 24.7403 1.0808
No log 3.0 60 5.8389 1.0
No log 4.0 80 4.8543 1.0
19.6583 5.0 100 4.4453 1.0
19.6583 6.0 120 4.3923 1.0
19.6583 7.0 140 4.2902 1.0
19.6583 8.0 160 3.9026 0.9959
19.6583 9.0 180 3.0616 0.9740
3.7358 10.0 200 2.2049 0.8534
3.7358 11.0 220 1.6666 0.7288
3.7358 12.0 240 1.4123 0.6603
3.7358 13.0 260 1.3113 0.6164
3.7358 14.0 280 1.2269 0.6356
0.8398 15.0 300 1.2349 0.5945
0.8398 16.0 320 1.1970 0.5658
0.8398 17.0 340 1.2144 0.5562
0.8398 18.0 360 1.2551 0.5658
0.8398 19.0 380 1.1971 0.5493
0.2649 20.0 400 1.1967 0.5247
0.2649 21.0 420 1.2796 0.5849
0.2649 22.0 440 1.2156 0.5521
0.2649 23.0 460 1.2118 0.5425
0.2649 24.0 480 1.1637 0.5384
0.1801 25.0 500 1.1846 0.5562
0.1801 26.0 520 1.1927 0.5534
0.1801 27.0 540 1.2015 0.5384
0.1801 28.0 560 1.2077 0.5397
0.1801 29.0 580 1.1554 0.5260
0.1364 30.0 600 1.1497 0.5260
Framework versions
  • Transformers 4.22.0.dev0
  • Pytorch 1.12.0+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1

Runs of jaeyeon korean-aihub-learning-math-16batch on huggingface.co

34
Total runs
4
24-hour runs
8
3-day runs
8
7-day runs
8
30-day runs

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