learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
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: 5

Training duration: 2221.8556 seconds

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3538	0.5	250	0.0878	0.9690
0.0905	1.0	500	0.0471	0.9840
0.0641	1.5	750	0.0310	0.9900
0.0541	2.0	1000	0.0269	0.9920
0.0409	2.5	1250	0.0317	0.9890
0.0392	3.0	1500	0.0188	0.9930
0.0291	3.5	1750	0.0210	0.9930
0.0335	4.0	2000	0.0120	0.9970
0.0281	4.5	2250	0.0170	0.9930
0.0258	5.0	2500	0.0131	0.9970

chiabingxuan/isot-bert-finetuned-lora

isot-bert-finetuned-lora