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 results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	8	5.4085	0.0381	5.4090	2.3257
No log	2.0	16	1.8563	0.0678	1.8567	1.3626
No log	3.0	24	1.9192	0.0487	1.9197	1.3855
No log	4.0	32	1.3380	0.0213	1.3383	1.1569
No log	5.0	40	1.8662	0.0882	1.8663	1.3661
No log	6.0	48	0.9796	0.1707	0.9797	0.9898
No log	7.0	56	1.2023	0.1925	1.2019	1.0963
No log	8.0	64	0.7655	0.2830	0.7653	0.8748
No log	9.0	72	1.8713	0.0818	1.8698	1.3674
No log	10.0	80	1.4954	0.1407	1.4942	1.2224
No log	11.0	88	0.9857	0.2547	0.9851	0.9925
No log	12.0	96	0.8968	0.2959	0.8962	0.9467
No log	13.0	104	1.2303	0.2430	1.2293	1.1087
No log	14.0	112	1.2115	0.2387	1.2106	1.1003
No log	15.0	120	0.9525	0.2648	0.9519	0.9756
No log	16.0	128	1.8625	0.1321	1.8613	1.3643
No log	17.0	136	1.6971	0.0842	1.6963	1.3024
No log	18.0	144	1.7693	0.0989	1.7683	1.3298
No log	19.0	152	1.3172	0.1630	1.3162	1.1472
No log	20.0	160	1.2341	0.1660	1.2335	1.1106
No log	21.0	168	1.7183	0.1183	1.7172	1.3104
No log	22.0	176	1.3007	0.1779	1.2997	1.1400
No log	23.0	184	1.7786	0.0980	1.7777	1.3333
No log	24.0	192	1.1529	0.1841	1.1522	1.0734
No log	25.0	200	0.9024	0.2915	0.9019	0.9497
No log	26.0	208	0.8638	0.3361	0.8632	0.9291
No log	27.0	216	1.0859	0.2951	1.0851	1.0417
No log	28.0	224	1.3539	0.1433	1.3530	1.1632
No log	29.0	232	1.9378	0.0757	1.9369	1.3917
No log	30.0	240	1.9368	0.0751	1.9358	1.3913
No log	31.0	248	1.1418	0.2365	1.1411	1.0682
No log	32.0	256	1.3556	0.1105	1.3549	1.1640
No log	33.0	264	1.3108	0.1455	1.3101	1.1446
No log	34.0	272	1.8397	0.0762	1.8392	1.3562
No log	35.0	280	1.8084	0.0626	1.8078	1.3445
No log	36.0	288	2.0307	0.0480	2.0299	1.4247
No log	37.0	296	1.3929	0.1504	1.3921	1.1799
No log	38.0	304	1.5285	0.1178	1.5277	1.2360
No log	39.0	312	1.1966	0.1934	1.1959	1.0936
No log	40.0	320	1.6708	0.1036	1.6699	1.2923
No log	41.0	328	1.6760	0.0884	1.6750	1.2942

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/BERT_AugV8_k10_task1_organization_sp060_lw030_fold2

BERT_AugV8_k10_task1_organization_sp060_lw030_fold2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k10_task1_organization_sp060_lw030_fold2