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	3	8.6774	0.0	8.6774	2.9458
No log	2.0	6	7.4099	0.0	7.4099	2.7221
No log	3.0	9	6.0217	0.0	6.0217	2.4539
No log	4.0	12	4.7590	0.0	4.7590	2.1815
No log	5.0	15	3.6383	0.0	3.6383	1.9074
No log	6.0	18	2.5760	0.0235	2.5760	1.6050
No log	7.0	21	1.7407	0.0	1.7407	1.3194
No log	8.0	24	1.2537	0.0	1.2537	1.1197
No log	9.0	27	0.9308	0.3452	0.9308	0.9648
No log	10.0	30	0.7908	0.0	0.7908	0.8893
No log	11.0	33	0.7554	0.0	0.7554	0.8691
No log	12.0	36	0.7273	0.1188	0.7273	0.8528
No log	13.0	39	0.6634	0.3908	0.6634	0.8145
No log	14.0	42	0.5810	0.5689	0.5810	0.7622
No log	15.0	45	0.6667	0.5645	0.6667	0.8165
No log	16.0	48	0.5022	0.5928	0.5022	0.7086
No log	17.0	51	0.5757	0.6556	0.5757	0.7587
No log	18.0	54	0.6160	0.6831	0.6160	0.7849
No log	19.0	57	0.5084	0.5973	0.5084	0.7130
No log	20.0	60	0.4835	0.6084	0.4835	0.6954
No log	21.0	63	0.5777	0.6214	0.5777	0.7600
No log	22.0	66	0.5060	0.5549	0.5060	0.7114
No log	23.0	69	1.2346	0.4306	1.2346	1.1111
No log	24.0	72	0.5139	0.5375	0.5139	0.7169
No log	25.0	75	0.5437	0.5734	0.5437	0.7374
No log	26.0	78	0.8593	0.5309	0.8593	0.9270
No log	27.0	81	0.5923	0.5684	0.5923	0.7696
No log	28.0	84	0.6954	0.5950	0.6954	0.8339
No log	29.0	87	0.6510	0.6304	0.6510	0.8068
No log	30.0	90	0.5433	0.5551	0.5433	0.7371
No log	31.0	93	0.9104	0.4907	0.9104	0.9542
No log	32.0	96	0.5635	0.5616	0.5635	0.7507
No log	33.0	99	0.5713	0.5562	0.5713	0.7558
No log	34.0	102	0.6914	0.5719	0.6914	0.8315
No log	35.0	105	0.6025	0.6011	0.6025	0.7762
No log	36.0	108	0.5662	0.6261	0.5662	0.7525
No log	37.0	111	0.6598	0.6	0.6598	0.8123
No log	38.0	114	0.6174	0.5795	0.6174	0.7857

genki10/Version12LowDevASAP_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_fold0

Version12LowDevASAP_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_fold0