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	8	3.8880	0.0	3.8861	1.9713
No log	2.0	16	1.5293	0.0106	1.5277	1.2360
No log	3.0	24	1.0656	0.0	1.0642	1.0316
No log	4.0	32	1.1599	0.0707	1.1584	1.0763
No log	5.0	40	1.1533	0.0941	1.1517	1.0732
No log	6.0	48	0.8340	0.2772	0.8323	0.9123
No log	7.0	56	1.5649	0.1815	1.5635	1.2504
No log	8.0	64	0.8405	0.3757	0.8389	0.9159
No log	9.0	72	1.0371	0.3443	1.0353	1.0175
No log	10.0	80	1.2415	0.2691	1.2397	1.1134
No log	11.0	88	0.9430	0.3935	0.9415	0.9703
No log	12.0	96	0.9914	0.3421	0.9896	0.9948
No log	13.0	104	1.2790	0.2390	1.2769	1.1300
No log	14.0	112	0.8886	0.4055	0.8870	0.9418
No log	15.0	120	0.9011	0.3616	0.8994	0.9484
No log	16.0	128	1.0965	0.3052	1.0945	1.0462
No log	17.0	136	1.0995	0.2829	1.0978	1.0478
No log	18.0	144	1.1573	0.2464	1.1555	1.0749
No log	19.0	152	1.1324	0.2737	1.1307	1.0633
No log	20.0	160	1.1839	0.2644	1.1821	1.0872
No log	21.0	168	1.0543	0.2893	1.0527	1.0260
No log	22.0	176	1.1661	0.2557	1.1646	1.0791
No log	23.0	184	1.0295	0.2499	1.0280	1.0139
No log	24.0	192	0.9183	0.3457	0.9172	0.9577
No log	25.0	200	0.9141	0.3256	0.9128	0.9554
No log	26.0	208	1.0016	0.3125	1.0002	1.0001
No log	27.0	216	0.9931	0.2376	0.9916	0.9958
No log	28.0	224	1.3393	0.2243	1.3377	1.1566
No log	29.0	232	1.0097	0.2936	1.0083	1.0042
No log	30.0	240	0.8821	0.3361	0.8808	0.9385
No log	31.0	248	1.0080	0.3369	1.0065	1.0032
No log	32.0	256	0.9965	0.2915	0.9950	0.9975
No log	33.0	264	0.9327	0.3566	0.9315	0.9652
No log	34.0	272	0.9704	0.3020	0.9691	0.9844

genki10/Version2ASAP_FineTuningBERT_AugV6_k5_task1_organization_k5_k5_fold1

Version2ASAP_FineTuningBERT_AugV6_k5_task1_organization_k5_k5_fold1