learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use 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: 100

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	4	7.8881	0.0	7.8881	2.8086
No log	2.0	8	5.5318	0.0212	5.5318	2.3520
No log	3.0	12	3.3902	0.0	3.3902	1.8413
No log	4.0	16	1.9894	0.0566	1.9894	1.4104
No log	5.0	20	1.2236	0.0449	1.2236	1.1061
No log	6.0	24	0.8695	0.3578	0.8695	0.9325
No log	7.0	28	0.6352	0.3069	0.6352	0.7970
No log	8.0	32	0.7008	0.3069	0.7008	0.8372
No log	9.0	36	0.8780	0.4313	0.8780	0.9370
No log	10.0	40	0.7934	0.5059	0.7934	0.8907
No log	11.0	44	1.0282	0.5905	1.0282	1.0140
No log	12.0	48	1.1546	0.5423	1.1546	1.0745
No log	13.0	52	0.7600	0.5995	0.7600	0.8718
No log	14.0	56	0.7185	0.5838	0.7185	0.8476
No log	15.0	60	0.7137	0.6173	0.7137	0.8448
No log	16.0	64	0.9903	0.5418	0.9903	0.9952
No log	17.0	68	0.7049	0.6692	0.7049	0.8396
No log	18.0	72	2.0132	0.4006	2.0132	1.4189
No log	19.0	76	1.0039	0.5265	1.0039	1.0019
No log	20.0	80	0.8145	0.6171	0.8145	0.9025
No log	21.0	84	1.5993	0.4293	1.5993	1.2646
No log	22.0	88	0.6789	0.6446	0.6789	0.8240
No log	23.0	92	1.8681	0.4165	1.8681	1.3668
No log	24.0	96	0.5556	0.6281	0.5556	0.7454
No log	25.0	100	1.2031	0.5005	1.2031	1.0969
No log	26.0	104	0.8558	0.6163	0.8558	0.9251
No log	27.0	108	0.9775	0.5578	0.9775	0.9887
No log	28.0	112	0.6601	0.6377	0.6601	0.8125
No log	29.0	116	1.1620	0.4863	1.1620	1.0780
No log	30.0	120	0.8245	0.6102	0.8245	0.9080
No log	31.0	124	0.7757	0.6298	0.7757	0.8807
No log	32.0	128	1.0016	0.5578	1.0016	1.0008
No log	33.0	132	0.8496	0.5833	0.8496	0.9217
No log	34.0	136	0.6395	0.6443	0.6395	0.7997
No log	35.0	140	0.9909	0.5395	0.9909	0.9954
No log	36.0	144	0.5836	0.6640	0.5836	0.7639
No log	37.0	148	1.1261	0.4885	1.1261	1.0612

genki10/Version12LowDevASAP_FineTuningBERT_AugV12_k15_task1_organization_k15_k15_fold4

Version12LowDevASAP_FineTuningBERT_AugV12_k15_task1_organization_k15_k15_fold4