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	5.9811	0.0080	5.9811	2.4456
No log	2.0	16	2.7006	0.0	2.7006	1.6433
No log	3.0	24	1.1017	0.0316	1.1017	1.0496
No log	4.0	32	0.8898	0.0300	0.8898	0.9433
No log	5.0	40	0.7918	0.3504	0.7918	0.8898
No log	6.0	48	0.7083	0.3650	0.7083	0.8416
No log	7.0	56	0.6059	0.3873	0.6059	0.7784
No log	8.0	64	0.6279	0.3301	0.6279	0.7924
No log	9.0	72	0.6232	0.4672	0.6232	0.7894
No log	10.0	80	0.6812	0.4442	0.6812	0.8254
No log	11.0	88	0.6822	0.4683	0.6822	0.8259
No log	12.0	96	0.6932	0.4910	0.6932	0.8326
No log	13.0	104	0.6718	0.5137	0.6718	0.8196
No log	14.0	112	0.8135	0.3779	0.8135	0.9020
No log	15.0	120	0.8944	0.3598	0.8944	0.9457
No log	16.0	128	0.6831	0.4878	0.6831	0.8265
No log	17.0	136	0.6343	0.5545	0.6343	0.7964
No log	18.0	144	0.7030	0.4478	0.7030	0.8385
No log	19.0	152	0.6658	0.4414	0.6658	0.8160
No log	20.0	160	0.6158	0.5107	0.6158	0.7847
No log	21.0	168	0.6141	0.5126	0.6141	0.7837
No log	22.0	176	0.6492	0.4858	0.6492	0.8057
No log	23.0	184	0.6997	0.4623	0.6997	0.8365
No log	24.0	192	0.6564	0.4954	0.6564	0.8102
No log	25.0	200	0.9297	0.3482	0.9297	0.9642
No log	26.0	208	0.6419	0.4785	0.6419	0.8012
No log	27.0	216	0.7399	0.4124	0.7399	0.8602
No log	28.0	224	0.8148	0.4417	0.8148	0.9027
No log	29.0	232	0.7162	0.4172	0.7162	0.8463
No log	30.0	240	0.8299	0.3500	0.8299	0.9110
No log	31.0	248	0.7738	0.3734	0.7738	0.8797
No log	32.0	256	0.6666	0.4574	0.6666	0.8164
No log	33.0	264	0.6368	0.5004	0.6368	0.7980
No log	34.0	272	0.6881	0.4423	0.6881	0.8295
No log	35.0	280	0.7672	0.3718	0.7672	0.8759
No log	36.0	288	0.7113	0.4274	0.7113	0.8434
No log	37.0	296	0.7598	0.4243	0.7598	0.8717

genki10/Version2ASAP_FineTuningBERT_AugV6_k5_task1_organization_k5_k5_fold0

Version2ASAP_FineTuningBERT_AugV6_k5_task1_organization_k5_k5_fold0