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wav2vec2-large-xlsr-korean-demo-colab-2
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2481
- Wer: 0.2480
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 |
|---|---|---|---|---|
| 4.7387 | 2.12 | 400 | 3.1791 | 1.0 |
| 1.3766 | 4.23 | 800 | 0.4876 | 0.5264 |
| 0.476 | 6.35 | 1200 | 0.2955 | 0.3648 |
| 0.3209 | 8.46 | 1600 | 0.2926 | 0.3473 |
| 0.2591 | 10.58 | 2000 | 0.2723 | 0.3094 |
| 0.2055 | 12.7 | 2400 | 0.2746 | 0.3027 |
| 0.1802 | 14.81 | 2800 | 0.2672 | 0.2976 |
| 0.1552 | 16.93 | 3200 | 0.2822 | 0.2807 |
| 0.1413 | 19.05 | 3600 | 0.2652 | 0.2856 |
| 0.1232 | 21.16 | 4000 | 0.2631 | 0.2655 |
| 0.1146 | 23.28 | 4400 | 0.2561 | 0.2574 |
| 0.1086 | 25.4 | 4800 | 0.2461 | 0.2527 |
| 0.0944 | 27.51 | 5200 | 0.2521 | 0.2535 |
| 0.0881 | 29.63 | 5600 | 0.2481 | 0.2480 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
