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	10.7551	0.0070	10.7552	3.2795
No log	2.0	6	8.0756	0.0	8.0760	2.8418
No log	3.0	9	5.2632	0.0321	5.2636	2.2943
No log	4.0	12	3.4764	0.0	3.4769	1.8646
No log	5.0	15	2.2456	0.0792	2.2460	1.4987
No log	6.0	18	1.3885	0.0107	1.3890	1.1786
No log	7.0	21	0.9726	0.0	0.9731	0.9865
No log	8.0	24	0.8264	0.1570	0.8269	0.9093
No log	9.0	27	0.8018	0.0942	0.8022	0.8957
No log	10.0	30	0.7981	0.1245	0.7983	0.8935
No log	11.0	33	0.5712	0.4411	0.5711	0.7557
No log	12.0	36	0.7213	0.4746	0.7208	0.8490
No log	13.0	39	0.5728	0.6288	0.5721	0.7563
No log	14.0	42	0.5707	0.5796	0.5703	0.7552
No log	15.0	45	0.5938	0.5352	0.5935	0.7704
No log	16.0	48	0.6243	0.4691	0.6242	0.7901
No log	17.0	51	0.7036	0.5338	0.7034	0.8387
No log	18.0	54	0.5831	0.5685	0.5829	0.7635
No log	19.0	57	0.4945	0.5747	0.4943	0.7030
No log	20.0	60	0.7604	0.5337	0.7598	0.8717
No log	21.0	63	0.5716	0.5689	0.5712	0.7558
No log	22.0	66	0.5101	0.5665	0.5098	0.7140
No log	23.0	69	0.7717	0.5179	0.7711	0.8781
No log	24.0	72	0.5142	0.5738	0.5139	0.7169
No log	25.0	75	0.8131	0.4984	0.8128	0.9015
No log	26.0	78	0.6726	0.4888	0.6728	0.8203
No log	27.0	81	1.3610	0.3601	1.3608	1.1665
No log	28.0	84	0.7876	0.4955	0.7878	0.8876
No log	29.0	87	1.0161	0.4776	1.0158	1.0079
No log	30.0	90	0.5573	0.5697	0.5574	0.7466
No log	31.0	93	0.7303	0.5476	0.7299	0.8543
No log	32.0	96	0.5936	0.5910	0.5933	0.7702
No log	33.0	99	0.5138	0.5672	0.5138	0.7168

genki10/Version_Test_ASAP_FineTuningBERT_AugV14_k3_task1_organization_k3_k3_fold2

Version_Test_ASAP_FineTuningBERT_AugV14_k3_task1_organization_k3_k3_fold2