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	1	11.0673	0.0203	11.0656	3.3265
No log	2.0	2	9.4950	0.0036	9.4932	3.0811
No log	3.0	3	9.1375	0.0	9.1357	3.0225
No log	4.0	4	8.7437	0.0	8.7419	2.9567
No log	5.0	5	8.2090	0.0	8.2074	2.8648
No log	6.0	6	7.5576	0.0	7.5561	2.7488
No log	7.0	7	6.8808	0.0	6.8793	2.6229
No log	8.0	8	6.2629	0.0107	6.2614	2.5023
No log	9.0	9	5.7378	0.0355	5.7364	2.3951
No log	10.0	10	5.2931	0.0076	5.2916	2.3004
No log	11.0	11	4.8655	0.0	4.8642	2.2055
No log	12.0	12	4.4422	0.0	4.4410	2.1074
No log	13.0	13	4.0620	0.0	4.0608	2.0151
No log	14.0	14	3.7197	0.0	3.7186	1.9284
No log	15.0	15	3.4082	0.0	3.4072	1.8459
No log	16.0	16	3.0955	0.0	3.0945	1.7591
No log	17.0	17	2.7708	0.0	2.7699	1.6643
No log	18.0	18	2.4623	0.1578	2.4614	1.5689
No log	19.0	19	2.1968	0.0811	2.1959	1.4819
No log	20.0	20	1.9615	0.0463	1.9607	1.4003
No log	21.0	21	1.7842	0.0266	1.7835	1.3355
No log	22.0	22	1.6310	0.0202	1.6303	1.2768
No log	23.0	23	1.4702	0.0102	1.4695	1.2122
No log	24.0	24	1.3227	0.0102	1.3221	1.1498
No log	25.0	25	1.2168	0.0202	1.2162	1.1028
No log	26.0	26	1.1308	0.0202	1.1303	1.0631
No log	27.0	27	1.0385	0.0202	1.0379	1.0188
No log	28.0	28	0.9581	0.0202	0.9576	0.9786
No log	29.0	29	0.8889	0.2980	0.8885	0.9426
No log	30.0	30	0.8747	0.2465	0.8743	0.9350
No log	31.0	31	0.8107	0.4187	0.8103	0.9001
No log	32.0	32	0.7342	0.4331	0.7339	0.8567
No log	33.0	33	0.6853	0.4331	0.6850	0.8276
No log	34.0	34	0.7563	0.4500	0.7560	0.8695
No log	35.0	35	1.1508	0.2409	1.1505	1.0726
No log	36.0	36	1.1318	0.2961	1.1316	1.0638
No log	37.0	37	0.7184	0.4767	0.7184	0.8476
No log	38.0	38	0.6794	0.4869	0.6795	0.8243
No log	39.0	39	1.0120	0.3934	1.0120	1.0060
No log	40.0	40	1.2066	0.3179	1.2067	1.0985
No log	41.0	41	1.0022	0.4175	1.0025	1.0012
No log	42.0	42	0.7075	0.4823	0.7079	0.8414
No log	43.0	43	0.7756	0.4739	0.7761	0.8810
No log	44.0	44	1.3325	0.2923	1.3332	1.1546
No log	45.0	45	1.4173	0.2810	1.4180	1.1908
No log	46.0	46	0.9630	0.3926	0.9637	0.9817
No log	47.0	47	0.9365	0.4146	0.9372	0.9681
No log	48.0	48	0.8368	0.4444	0.8374	0.9151
No log	49.0	49	1.1151	0.3334	1.1155	1.0562
No log	50.0	50	1.0436	0.3434	1.0439	1.0217
No log	51.0	51	0.7978	0.4620	0.7982	0.8934
No log	52.0	52	0.8620	0.4475	0.8623	0.9286
No log	53.0	53	1.2408	0.2789	1.2409	1.1139

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_sp020_lw010_fold3

BERT_AugV8_k1_task1_organization_sp020_lw010_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k1_task1_organization_sp020_lw010_fold3