learning_rate: 1.5e-06
train_batch_size: 32
eval_batch_size: 32
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: linear
num_epochs: 12.0

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.8051	0.8696	100	0.6291	0.6838	0.8122
0.6129	1.7391	200	0.5857	0.6912	0.8158
0.587	2.6087	300	0.5586	0.7034	0.8207
0.5516	3.4783	400	0.5361	0.7132	0.8235
0.5423	4.3478	500	0.5208	0.7279	0.8290
0.5153	5.2174	600	0.5096	0.7451	0.8344
0.4977	6.0870	700	0.5098	0.75	0.8376
0.4968	6.9565	800	0.5057	0.7574	0.8411
0.4818	7.8261	900	0.5051	0.7647	0.8452
0.4719	8.6957	1000	0.5031	0.7770	0.8520
0.4674	9.5652	1100	0.5046	0.7794	0.8539
0.4624	10.4348	1200	0.5033	0.7794	0.8534
0.4555	11.3043	1300	0.5037	0.7794	0.8534

XiaPinJohnKe/test-trainer

test-trainer