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	7	6.1888	0.0125	6.1875	2.4875
No log	2.0	14	2.4193	0.1090	2.4184	1.5551
No log	3.0	21	1.0990	0.0	1.0984	1.0481
No log	4.0	28	0.8947	0.0314	0.8944	0.9457
No log	5.0	35	1.2837	0.2563	1.2836	1.1330
No log	6.0	42	0.9119	0.3718	0.9118	0.9549
No log	7.0	49	0.8044	0.4539	0.8042	0.8968
No log	8.0	56	0.5419	0.6029	0.5414	0.7358
No log	9.0	63	0.5201	0.6524	0.5197	0.7209
No log	10.0	70	0.6080	0.6202	0.6077	0.7795
No log	11.0	77	0.5384	0.6597	0.5382	0.7336
No log	12.0	84	0.5354	0.6486	0.5351	0.7315
No log	13.0	91	0.5673	0.6741	0.5670	0.7530
No log	14.0	98	0.5337	0.6080	0.5336	0.7305
No log	15.0	105	0.5707	0.6237	0.5706	0.7554
No log	16.0	112	0.6875	0.6039	0.6873	0.8290
No log	17.0	119	0.6650	0.6013	0.6646	0.8152
No log	18.0	126	0.5925	0.6668	0.5921	0.7695
No log	19.0	133	0.7376	0.5835	0.7374	0.8587
No log	20.0	140	0.9780	0.5314	0.9779	0.9889
No log	21.0	147	0.5658	0.6118	0.5655	0.7520
No log	22.0	154	0.5561	0.6352	0.5559	0.7456
No log	23.0	161	0.5953	0.6302	0.5950	0.7714
No log	24.0	168	0.5591	0.6470	0.5588	0.7475
No log	25.0	175	0.6125	0.5999	0.6123	0.7825
No log	26.0	182	0.5468	0.5738	0.5465	0.7393
No log	27.0	189	0.5549	0.6257	0.5546	0.7447
No log	28.0	196	0.5291	0.5987	0.5288	0.7272
No log	29.0	203	0.5544	0.6707	0.5542	0.7444
No log	30.0	210	0.5448	0.6283	0.5444	0.7379
No log	31.0	217	0.5417	0.6335	0.5414	0.7358
No log	32.0	224	0.5455	0.6266	0.5451	0.7383
No log	33.0	231	0.6326	0.6136	0.6324	0.7952

genki10/Version_Test_ASAP_FineTuningBERT_AugV14_k10_task1_organization_k10_k10_fold3

Version_Test_ASAP_FineTuningBERT_AugV14_k10_task1_organization_k10_k10_fold3