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	2	9.9594	-0.0008	9.9596	3.1559
No log	2.0	4	6.7879	0.0	6.7882	2.6054
No log	3.0	6	5.3316	0.0270	5.3318	2.3091
No log	4.0	8	4.4598	0.0	4.4602	2.1119
No log	5.0	10	3.1710	0.0	3.1713	1.7808
No log	6.0	12	2.6296	0.0	2.6300	1.6217
No log	7.0	14	2.1240	0.0422	2.1244	1.4575
No log	8.0	16	1.6381	0.0213	1.6386	1.2801
No log	9.0	18	1.7184	0.0318	1.7188	1.3110
No log	10.0	20	1.5199	0.0318	1.5203	1.2330
No log	11.0	22	1.1245	0.0174	1.1249	1.0606
No log	12.0	24	0.9951	0.0437	0.9954	0.9977
No log	13.0	26	0.8989	0.0750	0.8992	0.9482
No log	14.0	28	0.8244	0.2344	0.8245	0.9080
No log	15.0	30	0.8015	0.4671	0.8016	0.8953
No log	16.0	32	0.8728	0.4437	0.8729	0.9343
No log	17.0	34	0.9349	0.3800	0.9349	0.9669
No log	18.0	36	0.8380	0.4458	0.8380	0.9154
No log	19.0	38	0.7401	0.5252	0.7401	0.8603
No log	20.0	40	0.8608	0.4790	0.8608	0.9278
No log	21.0	42	0.8505	0.4856	0.8505	0.9222
No log	22.0	44	0.6547	0.5258	0.6546	0.8091
No log	23.0	46	0.8255	0.4277	0.8253	0.9084
No log	24.0	48	0.6820	0.4475	0.6821	0.8259
No log	25.0	50	0.6209	0.4691	0.6210	0.7880
No log	26.0	52	0.6632	0.4283	0.6634	0.8145
No log	27.0	54	0.7583	0.4203	0.7584	0.8708
No log	28.0	56	0.7148	0.4277	0.7146	0.8454
No log	29.0	58	0.9097	0.3612	0.9089	0.9534
No log	30.0	60	1.3577	0.2727	1.3569	1.1649
No log	31.0	62	1.0084	0.3213	1.0076	1.0038
No log	32.0	64	0.8410	0.4128	0.8405	0.9168

genki10/ASAP_FineTuningBERT_AugV8_k1_task1_organization_k1_fold2

ASAP_FineTuningBERT_AugV8_k1_task1_organization_k1_fold2