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	3	8.5436	0.0	8.5437	2.9230
No log	2.0	6	5.9220	0.0300	5.9220	2.4335
No log	3.0	9	4.5201	0.0070	4.5201	2.1261
No log	4.0	12	3.1820	0.0040	3.1820	1.7838
No log	5.0	15	2.4700	-0.0653	2.4700	1.5716
No log	6.0	18	1.3936	0.0511	1.3936	1.1805
No log	7.0	21	1.1746	0.0213	1.1746	1.0838
No log	8.0	24	1.1176	0.0107	1.1176	1.0571
No log	9.0	27	1.1141	0.0244	1.1141	1.0555
No log	10.0	30	0.9398	0.1943	0.9398	0.9694
No log	11.0	33	0.7661	0.4097	0.7661	0.8753
No log	12.0	36	1.0400	0.0780	1.0400	1.0198
No log	13.0	39	0.6654	0.3847	0.6654	0.8157
No log	14.0	42	0.6139	0.5082	0.6139	0.7835
No log	15.0	45	0.7745	0.3491	0.7745	0.8800
No log	16.0	48	0.6757	0.3147	0.6757	0.8220
No log	17.0	51	0.8349	0.1765	0.8349	0.9137
No log	18.0	54	0.9665	0.1815	0.9665	0.9831
No log	19.0	57	0.6521	0.4546	0.6521	0.8075
No log	20.0	60	0.5795	0.5113	0.5795	0.7613
No log	21.0	63	0.7926	0.4334	0.7926	0.8903
No log	22.0	66	0.8570	0.3038	0.8570	0.9257
No log	23.0	69	0.7819	0.4129	0.7819	0.8843
No log	24.0	72	0.8917	0.3482	0.8917	0.9443
No log	25.0	75	0.9778	0.2937	0.9778	0.9889
No log	26.0	78	0.8922	0.3751	0.8922	0.9445
No log	27.0	81	1.0133	0.2743	1.0133	1.0066
No log	28.0	84	0.8307	0.3809	0.8307	0.9114
No log	29.0	87	1.0089	0.2954	1.0089	1.0045
No log	30.0	90	0.8998	0.4551	0.8998	0.9486
No log	31.0	93	1.1550	0.2175	1.1550	1.0747
No log	32.0	96	1.0729	0.2599	1.0729	1.0358
No log	33.0	99	0.7041	0.5427	0.7041	0.8391
No log	34.0	102	0.6796	0.4985	0.6796	0.8244
No log	35.0	105	0.8347	0.3614	0.8347	0.9136
No log	36.0	108	0.7870	0.4337	0.7870	0.8872
No log	37.0	111	1.0212	0.3096	1.0212	1.0106
No log	38.0	114	0.7655	0.4239	0.7655	0.8749
No log	39.0	117	0.9417	0.2780	0.9417	0.9704
No log	40.0	120	0.9247	0.2975	0.9247	0.9616
No log	41.0	123	0.7716	0.4399	0.7716	0.8784
No log	42.0	126	0.8545	0.3913	0.8545	0.9244
No log	43.0	129	0.7641	0.4475	0.7641	0.8741
No log	44.0	132	0.9641	0.2851	0.9641	0.9819
No log	45.0	135	0.9195	0.3087	0.9195	0.9589
No log	46.0	138	1.0106	0.2674	1.0106	1.0053
No log	47.0	141	0.7914	0.4054	0.7914	0.8896
No log	48.0	144	0.9543	0.2871	0.9543	0.9769

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/BERT_AugV8_k3_task1_organization_sp020_lw040_fold4

BERT_AugV8_k3_task1_organization_sp020_lw040_fold4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k3_task1_organization_sp020_lw040_fold4