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
0.8889	1.0	188	0.8337
0.5949	2.0	376	0.5920
0.5928	3.0	564	0.5431
0.5278	4.0	752	0.5376
0.592	5.0	940	0.5176
0.5311	6.0	1128	0.5185
0.5608	7.0	1316	0.5151
0.4822	8.0	1504	0.4613
0.4491	9.0	1692	0.4542
0.434	10.0	1880	0.4504
0.4212	11.0	2068	0.4532
0.4184	12.0	2256	0.4378
0.4511	13.0	2444	0.4379
0.4175	14.0	2632	0.4419
0.427	15.0	2820	0.4517

raniaa17/IndoT5-LoRA-R16-LR0.0003-Ep20

IndoT5-LoRA-R16-LR0.0003-Ep20