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	5	10.3007	-0.0028	10.2979	3.2090
No log	2.0	10	6.5650	0.0	6.5628	2.5618
No log	3.0	15	3.8244	0.0	3.8223	1.9551
No log	4.0	20	1.8613	0.0545	1.8597	1.3637
No log	5.0	25	1.3038	0.0106	1.3023	1.1412
No log	6.0	30	1.2981	0.0351	1.2966	1.1387
No log	7.0	35	1.5991	0.0381	1.5975	1.2639
No log	8.0	40	1.5516	0.0695	1.5500	1.2450
No log	9.0	45	1.2490	0.1342	1.2476	1.1170
No log	10.0	50	3.2606	-0.0106	3.2584	1.8051
No log	11.0	55	1.6995	0.0628	1.6982	1.3031
No log	12.0	60	1.7936	0.0450	1.7923	1.3388
No log	13.0	65	2.2673	0.0366	2.2659	1.5053
No log	14.0	70	2.6810	0.0123	2.6791	1.6368
No log	15.0	75	1.5438	0.0728	1.5425	1.2420
No log	16.0	80	1.6163	0.1342	1.6150	1.2708
No log	17.0	85	1.6108	0.1714	1.6097	1.2688
No log	18.0	90	2.3441	0.0437	2.3428	1.5306
No log	19.0	95	1.9999	0.0531	1.9983	1.4136
No log	20.0	100	1.6398	0.0871	1.6385	1.2800
No log	21.0	105	1.5450	0.1180	1.5439	1.2425
No log	22.0	110	2.0264	0.0852	2.0250	1.4230
No log	23.0	115	1.8064	0.1019	1.8050	1.3435
No log	24.0	120	1.9511	0.0728	1.9494	1.3962
No log	25.0	125	2.3711	0.0579	2.3691	1.5392
No log	26.0	130	1.6347	0.1231	1.6330	1.2779
No log	27.0	135	2.5047	0.0236	2.5025	1.5819
No log	28.0	140	1.0965	0.2023	1.0951	1.0465
No log	29.0	145	2.4089	0.0319	2.4070	1.5514
No log	30.0	150	1.4769	0.1738	1.4755	1.2147
No log	31.0	155	1.3938	0.1971	1.3925	1.1800
No log	32.0	160	2.3654	0.0539	2.3636	1.5374
No log	33.0	165	1.5502	0.1536	1.5488	1.2445
No log	34.0	170	1.9444	0.0923	1.9427	1.3938
No log	35.0	175	2.3518	0.0415	2.3501	1.5330
No log	36.0	180	1.5032	0.1478	1.5019	1.2255
No log	37.0	185	2.2367	0.0517	2.2352	1.4950
No log	38.0	190	1.6617	0.1147	1.6601	1.2885
No log	39.0	195	1.9290	0.0933	1.9273	1.3883
No log	40.0	200	1.8508	0.0884	1.8492	1.3599
No log	41.0	205	2.0239	0.0996	2.0224	1.4221
No log	42.0	210	1.7505	0.1299	1.7490	1.3225
No log	43.0	215	1.8697	0.0930	1.8680	1.3668

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial3BERT_AugV8_k7_task1_organization_sp030_lw010_fold1

Trial3BERT_AugV8_k7_task1_organization_sp030_lw010_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k7_task1_organization_sp030_lw010_fold1