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: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	8	5.2647	0.0383	5.2625	2.2940
No log	2.0	16	1.6623	0.0568	1.6607	1.2887
No log	3.0	24	2.1480	-0.0730	2.1460	1.4649
No log	4.0	32	1.3133	0.0119	1.3118	1.1453
No log	5.0	40	1.4150	0.0076	1.4133	1.1888
No log	6.0	48	1.2788	-0.1737	1.2772	1.1301
No log	7.0	56	1.8381	-0.0736	1.8360	1.3550
No log	8.0	64	2.5250	-0.0469	2.5229	1.5884
No log	9.0	72	1.3473	0.0924	1.3461	1.1602
No log	10.0	80	2.5439	0.0112	2.5416	1.5942
No log	11.0	88	1.9998	-0.0005	1.9978	1.4134
No log	12.0	96	2.2017	-0.0117	2.1995	1.4831
No log	13.0	104	1.9191	0.0542	1.9171	1.3846
No log	14.0	112	2.2109	0.0370	2.2085	1.4861
No log	15.0	120	1.6665	0.0473	1.6649	1.2903
No log	16.0	128	1.6122	0.0661	1.6103	1.2690
No log	17.0	136	1.7910	0.0852	1.7891	1.3376
No log	18.0	144	2.6864	0.0353	2.6841	1.6383
No log	19.0	152	1.5494	0.0175	1.5479	1.2441
No log	20.0	160	1.6310	0.0186	1.6293	1.2764
No log	21.0	168	2.0599	0.0225	2.0578	1.4345
No log	22.0	176	1.7374	0.0834	1.7356	1.3174
No log	23.0	184	2.3640	0.0779	2.3619	1.5368
No log	24.0	192	2.3035	0.0902	2.3013	1.5170
No log	25.0	200	1.3147	0.1290	1.3134	1.1460
No log	26.0	208	1.6396	0.0597	1.6379	1.2798
No log	27.0	216	1.7422	0.0724	1.7405	1.3193
No log	28.0	224	1.4253	0.1213	1.4239	1.1933
No log	29.0	232	1.6875	0.0147	1.6858	1.2984
No log	30.0	240	1.5717	0.0345	1.5700	1.2530
No log	31.0	248	1.7459	0.0848	1.7442	1.3207
No log	32.0	256	1.7073	0.0365	1.7054	1.3059
No log	33.0	264	1.5065	0.0660	1.5049	1.2268
No log	34.0	272	1.6059	0.0653	1.6041	1.2665
No log	35.0	280	2.0113	0.0598	2.0092	1.4175
No log	36.0	288	1.8768	0.0753	1.8749	1.3693
No log	37.0	296	1.8671	0.0541	1.8652	1.3657
No log	38.0	304	1.8021	0.0216	1.8003	1.3417
No log	39.0	312	1.8305	0.0162	1.8287	1.3523
No log	40.0	320	1.7014	0.0238	1.6996	1.3037
No log	41.0	328	1.4480	0.0967	1.4465	1.2027
No log	42.0	336	1.4434	0.0921	1.4420	1.2008
No log	43.0	344	1.6837	0.0846	1.6822	1.2970
No log	44.0	352	1.5471	0.0792	1.5457	1.2433
No log	45.0	360	1.5934	0.0677	1.5919	1.2617

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/ASAP_nosemantic_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_fold1

ASAP_nosemantic_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
ASAP_nosemantic_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_fold1