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	6	9.1461	0.0	9.1436	3.0238
No log	2.0	12	3.5194	0.0104	3.5174	1.8755
No log	3.0	18	1.6524	0.0583	1.6508	1.2848
No log	4.0	24	1.0445	0.0	1.0432	1.0214
No log	5.0	30	1.1737	0.0315	1.1721	1.0827
No log	6.0	36	1.2885	0.0482	1.2869	1.1344
No log	7.0	42	0.7701	0.3986	0.7688	0.8768
No log	8.0	48	0.7191	0.4250	0.7177	0.8472
No log	9.0	54	0.7092	0.3519	0.7078	0.8413
No log	10.0	60	0.7635	0.3123	0.7624	0.8732
No log	11.0	66	0.7652	0.4428	0.7637	0.8739
No log	12.0	72	0.7486	0.4179	0.7469	0.8642
No log	13.0	78	0.7900	0.3925	0.7888	0.8881
No log	14.0	84	0.7357	0.4558	0.7344	0.8570
No log	15.0	90	0.6927	0.4774	0.6913	0.8314
No log	16.0	96	0.7945	0.4297	0.7933	0.8907
No log	17.0	102	0.7024	0.4932	0.7012	0.8374
No log	18.0	108	0.6871	0.4587	0.6857	0.8281
No log	19.0	114	0.7673	0.4202	0.7657	0.8750
No log	20.0	120	0.8253	0.3974	0.8237	0.9076
No log	21.0	126	0.7120	0.4698	0.7105	0.8429
No log	22.0	132	0.7258	0.4658	0.7246	0.8512
No log	23.0	138	0.7110	0.4801	0.7097	0.8424
No log	24.0	144	0.7088	0.4654	0.7075	0.8411
No log	25.0	150	0.7561	0.4465	0.7548	0.8688
No log	26.0	156	0.7256	0.4550	0.7242	0.8510
No log	27.0	162	0.7260	0.4289	0.7247	0.8513
No log	28.0	168	0.6771	0.4611	0.6758	0.8221
No log	29.0	174	0.6943	0.4774	0.6929	0.8324
No log	30.0	180	0.7455	0.3798	0.7442	0.8626
No log	31.0	186	0.7545	0.4071	0.7532	0.8678
No log	32.0	192	0.6921	0.4455	0.6909	0.8312
No log	33.0	198	0.7082	0.4668	0.7071	0.8409
No log	34.0	204	0.7253	0.4599	0.7242	0.8510
No log	35.0	210	0.7181	0.4331	0.7169	0.8467
No log	36.0	216	0.6752	0.4918	0.6741	0.8210
No log	37.0	222	0.6920	0.4783	0.6908	0.8312

genki10/Version2ASAP_FineTuningBERT_AugV6_k7_task1_organization_k7_k7_fold1

Version2ASAP_FineTuningBERT_AugV6_k7_task1_organization_k7_k7_fold1