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	8.2015	0.0	8.2015	2.8638
No log	2.0	8	6.4398	-0.0076	6.4398	2.5377
No log	3.0	12	4.6493	0.0	4.6493	2.1562
No log	4.0	16	3.1248	0.0	3.1248	1.7677
No log	5.0	20	1.9225	0.0	1.9225	1.3865
No log	6.0	24	1.1932	0.0	1.1932	1.0924
No log	7.0	28	0.8743	0.2040	0.8743	0.9350
No log	8.0	32	0.8222	0.0	0.8222	0.9067
No log	9.0	36	0.9358	0.0	0.9358	0.9674
No log	10.0	40	0.9776	0.2973	0.9776	0.9887
No log	11.0	44	0.7723	0.3689	0.7723	0.8788
No log	12.0	48	0.6494	0.4846	0.6494	0.8059
No log	13.0	52	0.6034	0.6358	0.6034	0.7768
No log	14.0	56	0.4582	0.6181	0.4582	0.6769
No log	15.0	60	0.5063	0.6496	0.5063	0.7115
No log	16.0	64	0.5435	0.6491	0.5435	0.7372
No log	17.0	68	0.6087	0.5870	0.6087	0.7802
No log	18.0	72	0.5737	0.6116	0.5737	0.7574
No log	19.0	76	0.6174	0.5398	0.6174	0.7857
No log	20.0	80	0.6344	0.5812	0.6344	0.7965
No log	21.0	84	0.5476	0.5885	0.5476	0.7400
No log	22.0	88	0.5582	0.6030	0.5582	0.7471
No log	23.0	92	0.6680	0.6118	0.6680	0.8173
No log	24.0	96	0.5500	0.6001	0.5500	0.7416
No log	25.0	100	0.7737	0.5469	0.7737	0.8796
No log	26.0	104	0.6568	0.5383	0.6568	0.8104
No log	27.0	108	0.5398	0.5984	0.5398	0.7347
No log	28.0	112	0.5322	0.6335	0.5322	0.7295
No log	29.0	116	0.5166	0.5612	0.5166	0.7187
No log	30.0	120	0.6029	0.6023	0.6029	0.7764
No log	31.0	124	0.5312	0.5554	0.5312	0.7288
No log	32.0	128	0.5409	0.5891	0.5409	0.7354
No log	33.0	132	0.5964	0.6220	0.5964	0.7723
No log	34.0	136	0.5105	0.5996	0.5105	0.7145
No log	35.0	140	0.6827	0.5867	0.6827	0.8262

genki10/Version12LowDevASAP_FineTuningBERT_AugV12_k15_task1_organization_k15_k15_fold0

Version12LowDevASAP_FineTuningBERT_AugV12_k15_task1_organization_k15_k15_fold0