learning_rate: 5e-05
train_batch_size: 10
eval_batch_size: 10
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 160
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_steps: 500
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	0.96	21	1.1577	0.504	0.0	0.0	0.0
No log	1.96	42	0.9227	0.504	0.0	0.0	0.0
No log	2.96	63	0.6936	0.5147	0.5108	0.5081	0.5094
No log	3.96	84	0.6954	0.496	0.4423	0.0618	0.1085
No log	4.96	105	0.6898	0.56	0.5453	0.6801	0.6053
No log	5.96	126	0.6880	0.5653	0.5676	0.5188	0.5421
No log	6.96	147	0.6856	0.5627	0.5780	0.4382	0.4985
13.66	7.96	168	0.6873	0.5573	0.5369	0.7823	0.6368
13.66	8.96	189	0.6793	0.5893	0.5741	0.6667	0.6169
13.66	9.96	210	0.6777	0.584	0.5704	0.6532	0.6090
13.66	10.96	231	0.6690	0.6133	0.5981	0.6720	0.6329
13.66	11.96	252	0.6959	0.5747	0.7087	0.2419	0.3607
13.66	12.96	273	0.6691	0.6093	0.6010	0.6317	0.6160
13.66	13.96	294	0.6689	0.5987	0.5843	0.6613	0.6204
10.9484	14.96	315	0.6635	0.6	0.5984	0.5887	0.5935
10.9484	15.96	336	0.6617	0.6013	0.5938	0.6210	0.6071

viv6267/Ip_test_3000

Ip_test_3000