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	10.3545	0.0	10.3546	3.2179
No log	2.0	8	7.9991	0.0	7.9994	2.8283
No log	3.0	12	6.4828	0.0	6.4831	2.5462
No log	4.0	16	4.5095	0.0	4.5098	2.1236
No log	5.0	20	2.7692	0.0	2.7696	1.6642
No log	6.0	24	1.8972	0.0527	1.8976	1.3775
No log	7.0	28	1.3733	0.0280	1.3737	1.1721
No log	8.0	32	1.2389	0.0449	1.2394	1.1133
No log	9.0	36	0.9475	0.0640	0.9479	0.9736
No log	10.0	40	1.3032	0.2051	1.3037	1.1418
No log	11.0	44	2.6867	0.1023	2.6872	1.6393
No log	12.0	48	1.0747	0.2789	1.0748	1.0367
No log	13.0	52	1.6448	0.1786	1.6450	1.2826
No log	14.0	56	1.0352	0.3049	1.0352	1.0174
No log	15.0	60	0.8087	0.3886	0.8087	0.8993
No log	16.0	64	1.0809	0.3238	1.0810	1.0397
No log	17.0	68	0.9174	0.3335	0.9173	0.9578
No log	18.0	72	0.9423	0.3896	0.9422	0.9707
No log	19.0	76	1.5368	0.3208	1.5372	1.2399
No log	20.0	80	0.8346	0.4650	0.8349	0.9137
No log	21.0	84	1.2714	0.3761	1.2719	1.1278
No log	22.0	88	1.1665	0.3875	1.1668	1.0802
No log	23.0	92	1.4417	0.3014	1.4420	1.2009
No log	24.0	96	0.9130	0.4235	0.9133	0.9557
No log	25.0	100	1.2554	0.3327	1.2559	1.1207
No log	26.0	104	1.0223	0.4191	1.0229	1.0114
No log	27.0	108	0.8818	0.3970	0.8824	0.9393
No log	28.0	112	0.9100	0.4389	0.9105	0.9542
No log	29.0	116	1.4366	0.3127	1.4373	1.1989
No log	30.0	120	1.0007	0.3800	1.0011	1.0006

genki10/ASAP_FineTuningBERT_AugV7_k4_task1_organization_k4_k4_fold2

ASAP_FineTuningBERT_AugV7_k4_task1_organization_k4_k4_fold2