learning_rate: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1798	1.0	6	0.4439	0.75
0.2051	2.0	12	0.5505	0.5833
0.1612	3.0	18	0.1884	0.9167
0.2032	4.0	24	0.2759	0.9167
0.1803	5.0	30	0.5196	0.8333
0.0478	6.0	36	0.3214	0.9167
0.1159	7.0	42	0.3311	0.9167
0.031	8.0	48	0.6261	0.8333
0.0263	9.0	54	0.3536	0.9167
0.2505	10.0	60	0.3637	0.9167
0.018	11.0	66	0.3721	0.9167
0.0167	12.0	72	0.6487	0.8333
0.0154	13.0	78	0.7422	0.8333
0.0144	14.0	84	0.7221	0.8333
0.0129	15.0	90	0.5876	0.8333
0.0123	16.0	96	0.4041	0.9167
0.0118	17.0	102	0.4000	0.9167
0.0115	18.0	108	0.4015	0.9167
0.0112	19.0	114	0.4025	0.9167
0.011	20.0	120	0.4030	0.9167

Rukh29/my_custom2_model

my_custom2_model