learning_rate: 0.0001
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
1.0213	1.0	188	0.9309
0.8595	2.0	376	0.8744
0.8909	3.0	564	0.8449
0.8118	4.0	752	0.8331
0.868	5.0	940	0.8022
0.7772	6.0	1128	0.7627
0.6771	7.0	1316	0.6054
0.6124	8.0	1504	0.5824
0.5767	9.0	1692	0.5603
0.5598	10.0	1880	0.5485
0.5429	11.0	2068	0.5430
0.5446	12.0	2256	0.5396
0.5809	13.0	2444	0.5374
0.5416	14.0	2632	0.5386
0.5573	15.0	2820	0.5324
0.5185	16.0	3008	0.5337
0.5278	17.0	3196	0.5284
0.5797	18.0	3384	0.5208
0.5117	19.0	3572	0.5229
0.5371	20.0	3760	0.5253

raniaa17/IndoT5-LoRA-R8-LR0.0001-Ep20

IndoT5-LoRA-R8-LR0.0001-Ep20