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	8	5.9147	0.0254	5.9147	2.4320
No log	2.0	16	2.6635	0.0	2.6635	1.6320
No log	3.0	24	1.6722	0.0106	1.6722	1.2931
No log	4.0	32	2.2967	0.1570	2.2967	1.5155
No log	5.0	40	1.2092	0.0316	1.2092	1.0996
No log	6.0	48	1.0367	0.0316	1.0367	1.0182
No log	7.0	56	0.7814	0.3443	0.7814	0.8840
No log	8.0	64	0.6939	0.2061	0.6939	0.8330
No log	9.0	72	0.6988	0.1923	0.6988	0.8360
No log	10.0	80	0.7093	0.2043	0.7093	0.8422
No log	11.0	88	0.6982	0.2890	0.6982	0.8356
No log	12.0	96	0.7529	0.4496	0.7529	0.8677
No log	13.0	104	0.8183	0.4310	0.8183	0.9046
No log	14.0	112	0.8587	0.4043	0.8587	0.9267
No log	15.0	120	0.9130	0.4195	0.9130	0.9555
No log	16.0	128	0.8055	0.4091	0.8055	0.8975
No log	17.0	136	1.0322	0.3488	1.0322	1.0160
No log	18.0	144	1.0071	0.3704	1.0071	1.0035
No log	19.0	152	0.7878	0.4333	0.7878	0.8876
No log	20.0	160	0.8879	0.4037	0.8879	0.9423
No log	21.0	168	0.9891	0.3359	0.9891	0.9945
No log	22.0	176	0.9072	0.3695	0.9072	0.9524
No log	23.0	184	0.8597	0.3638	0.8597	0.9272
No log	24.0	192	0.8162	0.3810	0.8162	0.9035
No log	25.0	200	0.8689	0.3856	0.8689	0.9322
No log	26.0	208	0.7868	0.4162	0.7868	0.8870
No log	27.0	216	0.8221	0.4411	0.8221	0.9067
No log	28.0	224	0.7557	0.3602	0.7557	0.8693
No log	29.0	232	0.9413	0.3907	0.9413	0.9702
No log	30.0	240	0.7807	0.3716	0.7807	0.8836
No log	31.0	248	0.8415	0.4459	0.8415	0.9174
No log	32.0	256	0.8085	0.4015	0.8085	0.8992

genki10/Version2ASAP_FineTuningBERT_AugV8_k10_task1_organization_k10_k10_fold0

Version2ASAP_FineTuningBERT_AugV8_k10_task1_organization_k10_k10_fold0