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	7.0787	0.0	7.0787	2.6606
No log	2.0	10	4.9041	0.0115	4.9041	2.2145
No log	3.0	15	2.8469	0.0	2.8469	1.6873
No log	4.0	20	1.4797	0.0316	1.4797	1.2164
No log	5.0	25	1.1831	0.0212	1.1831	1.0877
No log	6.0	30	1.1481	0.0382	1.1481	1.0715
No log	7.0	35	1.0469	0.0316	1.0469	1.0232
No log	8.0	40	0.8126	0.2725	0.8126	0.9014
No log	9.0	45	1.0707	0.0764	1.0707	1.0348
No log	10.0	50	0.6972	0.2745	0.6972	0.8350
No log	11.0	55	0.8709	0.1111	0.8709	0.9332
No log	12.0	60	0.6597	0.3072	0.6597	0.8122
No log	13.0	65	0.8296	0.2579	0.8296	0.9108
No log	14.0	70	0.7053	0.3009	0.7053	0.8398
No log	15.0	75	0.7828	0.3489	0.7828	0.8848
No log	16.0	80	1.2520	0.1055	1.2520	1.1189
No log	17.0	85	0.8347	0.2996	0.8347	0.9136
No log	18.0	90	0.8110	0.3145	0.8110	0.9006
No log	19.0	95	0.9092	0.3016	0.9092	0.9535
No log	20.0	100	0.8935	0.2936	0.8935	0.9452
No log	21.0	105	0.9535	0.3304	0.9535	0.9764
No log	22.0	110	0.9857	0.1964	0.9857	0.9928
No log	23.0	115	1.0182	0.2614	1.0182	1.0091
No log	24.0	120	0.9921	0.2992	0.9921	0.9961
No log	25.0	125	0.8403	0.3534	0.8403	0.9167
No log	26.0	130	0.8980	0.3401	0.8980	0.9476
No log	27.0	135	0.9333	0.3126	0.9333	0.9661
No log	28.0	140	0.9619	0.3078	0.9619	0.9808
No log	29.0	145	0.9191	0.3163	0.9191	0.9587
No log	30.0	150	0.8903	0.3327	0.8903	0.9436
No log	31.0	155	0.8620	0.3463	0.8620	0.9284
No log	32.0	160	0.8050	0.3598	0.8050	0.8972
No log	33.0	165	0.8792	0.3353	0.8792	0.9377
No log	34.0	170	0.9660	0.2779	0.9660	0.9829
No log	35.0	175	0.9477	0.3206	0.9477	0.9735
No log	36.0	180	1.0028	0.2837	1.0028	1.0014
No log	37.0	185	0.9654	0.3439	0.9654	0.9826
No log	38.0	190	0.9627	0.2807	0.9627	0.9812
No log	39.0	195	0.9351	0.3057	0.9351	0.9670
No log	40.0	200	0.9312	0.3230	0.9312	0.9650
No log	41.0	205	0.8980	0.3321	0.8980	0.9476
No log	42.0	210	0.9865	0.2452	0.9865	0.9932
No log	43.0	215	0.8425	0.3570	0.8425	0.9179
No log	44.0	220	0.8396	0.3491	0.8396	0.9163
No log	45.0	225	1.0165	0.2411	1.0165	1.0082
No log	46.0	230	0.9520	0.2886	0.9520	0.9757
No log	47.0	235	0.9358	0.3275	0.9358	0.9674

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_sp010_lw030_fold0

Trial3BERT_AugV8_k7_task1_organization_sp010_lw030_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k7_task1_organization_sp010_lw030_fold0