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 OptimizerNames.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 Loss	Epoch	Step	Validation Loss	Accuracy
2.8542	0.0681	100	1.4936	0.3803
1.9555	0.1362	200	1.1916	0.5237
2.3132	0.2043	300	0.9826	0.6180
1.8724	0.2724	400	0.9512	0.6411
1.9331	0.3405	500	0.8138	0.6857
1.6761	0.4086	600	0.7749	0.6932
1.7902	0.4767	700	0.7694	0.7028
1.9041	0.5448	800	0.7199	0.7194
1.8659	0.6129	900	0.7010	0.7382
1.9123	0.6810	1000	0.6067	0.7753
1.2564	0.7491	1100	0.6073	0.7726
0.8368	0.8172	1200	0.6203	0.7729
1.1841	0.8853	1300	0.5312	0.7988
1.0372	0.9534	1400	0.5291	0.8063

HERIUN/wav2vec2-xlsr-korean-dialect-recognition

wav2vec2-xlsr-korean-dialect-recognition