metadata
library_name: transformers
base_model: fleek/wav2vec-large-xlsr-korean
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-xlsr-korean-dialect-recognition
results: []
wav2vec2-xlsr-korean-dialect-recognition
This model is a fine-tuned version of fleek/wav2vec-large-xlsr-korean on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0752
- Accuracy: 0.9783
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8264 | 0.0794 | 500 | 0.3492 | 0.8641 |
| 0.674 | 0.1588 | 1000 | 0.2810 | 0.8985 |
| 0.3338 | 0.2382 | 1500 | 0.2596 | 0.9269 |
| 0.3121 | 0.3176 | 2000 | 0.2037 | 0.9403 |
| 0.2074 | 0.3970 | 2500 | 0.1472 | 0.9494 |
| 0.4901 | 0.4764 | 3000 | 0.1448 | 0.9582 |
| 0.2544 | 0.5558 | 3500 | 0.1676 | 0.9535 |
| 0.2138 | 0.6352 | 4000 | 0.1057 | 0.9684 |
| 0.1705 | 0.7146 | 4500 | 0.1463 | 0.9551 |
| 0.4207 | 0.7940 | 5000 | 0.0907 | 0.9722 |
| 0.0229 | 0.8734 | 5500 | 0.0887 | 0.9738 |
| 0.203 | 0.9528 | 6000 | 0.0752 | 0.9783 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0