learning_rate: 0.0003
train_batch_size: 64
eval_batch_size: 64
seed: 42
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: constant
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss
0.866	1.0	188	0.8142
0.5507	2.0	376	0.5509
0.5726	3.0	564	0.5266
0.5125	4.0	752	0.5234
0.5742	5.0	940	0.5098
0.5129	6.0	1128	0.5091
0.4981	7.0	1316	0.4601
0.4559	8.0	1504	0.4538
0.427	9.0	1692	0.4460
0.414	10.0	1880	0.4432
0.4007	11.0	2068	0.4467
0.3969	12.0	2256	0.4369
0.4267	13.0	2444	0.4397
0.3928	14.0	2632	0.4405
0.3992	15.0	2820	0.4510

raniiaa17/IndoT5-LoRA-R32-LR0.0003-Ep20

IndoT5-LoRA-R32-LR0.0003-Ep20