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	2	11.0476	0.0124	11.0476	3.3238
No log	2.0	4	7.0040	0.0018	7.0040	2.6465
No log	3.0	6	6.3386	0.0014	6.3386	2.5177
No log	4.0	8	5.6628	0.0170	5.6628	2.3797
No log	5.0	10	4.8471	0.0152	4.8471	2.2016
No log	6.0	12	4.4979	0.0021	4.4979	2.1208
No log	7.0	14	4.0483	0.0040	4.0483	2.0120
No log	8.0	16	3.2220	0.0040	3.2220	1.7950
No log	9.0	18	2.8043	0.0040	2.8043	1.6746
No log	10.0	20	2.3880	0.0799	2.3880	1.5453
No log	11.0	22	2.1788	0.0791	2.1788	1.4761
No log	12.0	24	1.8992	0.0803	1.8992	1.3781
No log	13.0	26	1.6207	0.0420	1.6207	1.2731
No log	14.0	28	1.5023	0.0316	1.5023	1.2257
No log	15.0	30	1.2135	0.0420	1.2135	1.1016
No log	16.0	32	1.1253	0.0316	1.1253	1.0608
No log	17.0	34	0.9793	0.0316	0.9793	0.9896
No log	18.0	36	1.4177	0.1070	1.4177	1.1907
No log	19.0	38	1.7594	0.2056	1.7594	1.3264
No log	20.0	40	2.1219	0.1871	2.1219	1.4567
No log	21.0	42	1.4256	0.2143	1.4256	1.1940
No log	22.0	44	0.9800	0.0980	0.9800	0.9899
No log	23.0	46	1.2721	-0.0027	1.2721	1.1279
No log	24.0	48	0.9202	0.0543	0.9202	0.9592
No log	25.0	50	0.7328	0.4287	0.7328	0.8560
No log	26.0	52	1.2737	0.1504	1.2737	1.1286
No log	27.0	54	1.7882	0.2200	1.7882	1.3372
No log	28.0	56	1.8234	0.2310	1.8234	1.3503
No log	29.0	58	1.4102	0.2418	1.4102	1.1875
No log	30.0	60	1.0968	0.2603	1.0968	1.0473
No log	31.0	62	0.8166	0.4470	0.8166	0.9037
No log	32.0	64	0.6252	0.5554	0.6252	0.7907
No log	33.0	66	0.5847	0.4985	0.5847	0.7646
No log	34.0	68	0.5715	0.4901	0.5715	0.7560
No log	35.0	70	0.7353	0.4834	0.7353	0.8575
No log	36.0	72	0.7710	0.4666	0.7710	0.8780
No log	37.0	74	0.5898	0.5277	0.5898	0.7680
No log	38.0	76	0.5788	0.5244	0.5788	0.7608
No log	39.0	78	0.7663	0.5151	0.7663	0.8754
No log	40.0	80	1.3380	0.3724	1.3380	1.1567
No log	41.0	82	1.2637	0.4072	1.2637	1.1242
No log	42.0	84	0.6308	0.5438	0.6308	0.7943
No log	43.0	86	0.6091	0.5115	0.6091	0.7805
No log	44.0	88	0.6880	0.4008	0.6880	0.8294
No log	45.0	90	0.6890	0.3794	0.6890	0.8301
No log	46.0	92	0.7046	0.4068	0.7046	0.8394
No log	47.0	94	0.6967	0.4500	0.6967	0.8347

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/BERT_AugV8_k1_task1_organization_sp010_lw040_fold4

BERT_AugV8_k1_task1_organization_sp010_lw040_fold4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k1_task1_organization_sp010_lw040_fold4