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	6.8671	0.0	6.8676	2.6206
No log	2.0	8	4.4137	-0.0004	4.4140	2.1010
No log	3.0	12	2.5225	0.0110	2.5229	1.5884
No log	4.0	16	1.4865	0.0	1.4870	1.2194
No log	5.0	20	0.9779	0.0	0.9784	0.9891
No log	6.0	24	0.7401	0.3947	0.7403	0.8604
No log	7.0	28	0.5961	0.4414	0.5962	0.7721
No log	8.0	32	1.2257	0.2400	1.2259	1.1072
No log	9.0	36	0.5534	0.5684	0.5533	0.7438
No log	10.0	40	0.5776	0.4748	0.5776	0.7600
No log	11.0	44	0.7881	0.4426	0.7881	0.8878
No log	12.0	48	0.5298	0.5053	0.5298	0.7279
No log	13.0	52	1.0907	0.3635	1.0909	1.0445
No log	14.0	56	0.5741	0.5400	0.5741	0.7577
No log	15.0	60	0.6424	0.5088	0.6423	0.8014
No log	16.0	64	0.9359	0.4301	0.9358	0.9674
No log	17.0	68	0.5707	0.5473	0.5705	0.7553
No log	18.0	72	0.7807	0.5037	0.7808	0.8836
No log	19.0	76	0.8468	0.4874	0.8469	0.9203
No log	20.0	80	0.9616	0.4691	0.9618	0.9807
No log	21.0	84	1.0175	0.4400	1.0175	1.0087
No log	22.0	88	1.0213	0.4547	1.0212	1.0105
No log	23.0	92	1.0276	0.4830	1.0274	1.0136
No log	24.0	96	1.1829	0.4691	1.1825	1.0874
No log	25.0	100	1.0624	0.5089	1.0620	1.0305
No log	26.0	104	1.0188	0.4956	1.0186	1.0093
No log	27.0	108	1.0354	0.5073	1.0352	1.0174
No log	28.0	112	1.0935	0.5030	1.0933	1.0456
No log	29.0	116	1.1131	0.5058	1.1127	1.0549

genki10/Version3_ASAP_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold2

Version3_ASAP_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold2