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	7.6886	0.0	7.6886	2.7728
No log	2.0	8	6.0307	0.0126	6.0307	2.4558
No log	3.0	12	4.3791	0.0039	4.3791	2.0926
No log	4.0	16	2.9713	0.0	2.9713	1.7238
No log	5.0	20	1.8904	0.0447	1.8904	1.3749
No log	6.0	24	1.1970	0.0212	1.1970	1.0941
No log	7.0	28	1.2348	0.0106	1.2348	1.1112
No log	8.0	32	1.0350	0.0316	1.0350	1.0174
No log	9.0	36	1.7310	0.0628	1.7310	1.3157
No log	10.0	40	1.0008	0.0316	1.0008	1.0004
No log	11.0	44	1.0379	0.0372	1.0379	1.0188
No log	12.0	48	0.8404	0.2379	0.8404	0.9168
No log	13.0	52	0.7758	0.4016	0.7758	0.8808
No log	14.0	56	0.7173	0.2982	0.7173	0.8470
No log	15.0	60	0.6878	0.2262	0.6878	0.8294
No log	16.0	64	0.6358	0.2807	0.6358	0.7974
No log	17.0	68	0.6604	0.2702	0.6604	0.8126
No log	18.0	72	0.6662	0.2728	0.6662	0.8162
No log	19.0	76	0.6275	0.4394	0.6275	0.7921
No log	20.0	80	0.6599	0.4888	0.6599	0.8123
No log	21.0	84	0.6887	0.4487	0.6887	0.8299
No log	22.0	88	0.6753	0.4998	0.6753	0.8217
No log	23.0	92	0.7496	0.4311	0.7496	0.8658
No log	24.0	96	0.6408	0.5183	0.6408	0.8005
No log	25.0	100	0.5735	0.5662	0.5735	0.7573
No log	26.0	104	0.6127	0.5150	0.6127	0.7828
No log	27.0	108	0.6558	0.4841	0.6558	0.8098
No log	28.0	112	0.6966	0.4936	0.6966	0.8346
No log	29.0	116	0.5936	0.5569	0.5936	0.7704
No log	30.0	120	0.7471	0.4548	0.7471	0.8643
No log	31.0	124	0.7275	0.4450	0.7275	0.8529
No log	32.0	128	0.7753	0.4433	0.7753	0.8805
No log	33.0	132	0.6604	0.5321	0.6604	0.8126
No log	34.0	136	0.6389	0.5028	0.6389	0.7993
No log	35.0	140	0.6285	0.5195	0.6285	0.7928

genki10/ASAP_FineTuningBERT_AugV7_k4_task1_organization_k4_k4_fold0

ASAP_FineTuningBERT_AugV7_k4_task1_organization_k4_k4_fold0