learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
training_steps: 10000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.4914	1.2469	1000	0.4539
0.4832	2.4938	2000	0.4521
0.4837	3.7408	3000	0.4550
0.4861	4.9877	4000	0.4537
0.4821	6.2345	5000	0.4492
0.4766	7.4814	6000	0.4522
0.4758	8.7283	7000	0.4499
0.4776	9.9752	8000	0.4507
0.4752	11.2220	9000	0.4507
0.4763	12.4689	10000	0.4495

drownnila/Ergonomic_TTS_ID_v4

Ergonomic_TTS_ID_v3-lanjutan