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: 150

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	7	6.1488	0.0405	6.1473	2.4794
No log	2.0	14	2.5235	0.0669	2.5226	1.5883
No log	3.0	21	1.2014	0.0202	1.2008	1.0958
No log	4.0	28	0.8961	0.3289	0.8956	0.9463
No log	5.0	35	1.1199	0.0552	1.1195	1.0580
No log	6.0	42	0.9534	0.2812	0.9533	0.9764
No log	7.0	49	0.6380	0.3983	0.6384	0.7990
No log	8.0	56	0.6387	0.3872	0.6391	0.7994
No log	9.0	63	0.7804	0.4449	0.7806	0.8835
No log	10.0	70	0.6486	0.4952	0.6490	0.8056
No log	11.0	77	0.7630	0.4288	0.7632	0.8736
No log	12.0	84	0.7341	0.4737	0.7346	0.8571
No log	13.0	91	0.6801	0.4555	0.6803	0.8248
No log	14.0	98	0.9122	0.3618	0.9126	0.9553
No log	15.0	105	1.1023	0.3020	1.1026	1.0501
No log	16.0	112	0.9203	0.3283	0.9205	0.9594
No log	17.0	119	1.1521	0.2320	1.1522	1.0734
No log	18.0	126	0.9662	0.3052	0.9663	0.9830
No log	19.0	133	1.0142	0.2804	1.0142	1.0071
No log	20.0	140	0.9028	0.3189	0.9027	0.9501
No log	21.0	147	1.0227	0.3011	1.0226	1.0112
No log	22.0	154	1.5595	0.2160	1.5595	1.2488
No log	23.0	161	1.3359	0.2303	1.3361	1.1559
No log	24.0	168	1.2275	0.2282	1.2277	1.1080
No log	25.0	175	1.0659	0.2542	1.0659	1.0324

genki10/Trial3BERT_AugV8_k10_task1_organization_sp010_lw040_fold3

Trial3BERT_AugV8_k10_task1_organization_sp010_lw040_fold3