learning_rate: 8.8e-05
train_batch_size: 32
eval_batch_size: 64
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
lr_scheduler_warmup_ratio: 0.079905
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Adv Acc
0.8968	1.0	72	1.9034	0.8078	0.8048	0.0902
2.4258	2.0	144	5.0244	0.8510	0.8503	0.1333
6.9155	3.0	216	8.0457	0.8549	0.8542	0.0
7.4505	4.0	288	12.3074	0.8706	0.8706	0.0
10.0671	5.0	360	9.0296	0.8353	0.8334	0.0
8.9089	6.0	432	10.0976	0.8275	0.8274	0.0353
6.8576	7.0	504	6.8378	0.8824	0.8824	0.0118
5.9407	8.0	576	5.4805	0.8588	0.8583	0.0314
5.1865	9.0	648	4.0087	0.8745	0.8745	0.1412
3.5606	10.0	720	4.4264	0.8549	0.8546	0.0078
3.4944	11.0	792	3.9312	0.9098	0.9098	0.0
3.4093	12.0	864	4.0868	0.8902	0.8902	0.0
3.3966	13.0	936	3.9650	0.8980	0.8979	0.0
3.3191	14.0	1008	4.0058	0.8824	0.8821	0.0
3.3156	15.0	1080	4.0279	0.8784	0.8784	0.0
3.26	16.0	1152	4.0243	0.8902	0.8902	0.0
3.264	17.0	1224	3.9404	0.8941	0.8941	0.0
3.2533	18.0	1296	3.8867	0.8941	0.8941	0.0
3.2137	19.0	1368	3.8939	0.9020	0.9020	0.0
3.2148	20.0	1440	3.9104	0.9020	0.9020	0.0

bhaswata08/sutra-classifier-adv

sutra-classifier-adv