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	2	9.7526	0.0032	9.7494	3.1224
No log	2.0	4	7.1132	0.0	7.1107	2.6666
No log	3.0	6	5.4200	-0.0011	5.4175	2.3276
No log	4.0	8	4.0454	0.0	4.0433	2.0108
No log	5.0	10	4.3020	0.0004	4.2999	2.0736
No log	6.0	12	3.2133	0.0	3.2113	1.7920
No log	7.0	14	2.9122	0.0	2.9102	1.7059
No log	8.0	16	2.2261	0.0296	2.2243	1.4914
No log	9.0	18	1.7561	0.0211	1.7544	1.3246
No log	10.0	20	1.4621	0.0106	1.4605	1.2085
No log	11.0	22	1.2579	0.0106	1.2564	1.1209
No log	12.0	24	1.1342	0.0106	1.1328	1.0643
No log	13.0	26	1.0691	0.0106	1.0677	1.0333
No log	14.0	28	0.9900	0.0184	0.9887	0.9943
No log	15.0	30	0.9830	0.0314	0.9817	0.9908
No log	16.0	32	1.0635	0.0883	1.0623	1.0307
No log	17.0	34	1.0320	0.1363	1.0307	1.0153
No log	18.0	36	0.8057	0.3251	0.8045	0.8970
No log	19.0	38	0.7271	0.4093	0.7260	0.8520
No log	20.0	40	0.8009	0.3027	0.7997	0.8943
No log	21.0	42	0.7397	0.3380	0.7386	0.8594
No log	22.0	44	0.9643	0.2365	0.9632	0.9814
No log	23.0	46	2.3470	-0.0301	2.3462	1.5317
No log	24.0	48	2.3400	-0.0430	2.3391	1.5294
No log	25.0	50	1.2730	0.1454	1.2720	1.1278
No log	26.0	52	0.9077	0.3135	0.9067	0.9522
No log	27.0	54	1.4540	0.2391	1.4530	1.2054
No log	28.0	56	1.4212	0.2665	1.4200	1.1916
No log	29.0	58	0.8275	0.4175	0.8262	0.9090
No log	30.0	60	0.8571	0.4046	0.8558	0.9251
No log	31.0	62	1.1661	0.2447	1.1647	1.0792
No log	32.0	64	2.0783	0.1413	2.0770	1.4412
No log	33.0	66	1.5001	0.1798	1.4987	1.2242
No log	34.0	68	1.1010	0.2839	1.1000	1.0488
No log	35.0	70	1.2662	0.2644	1.2655	1.1250
No log	36.0	72	1.2328	0.2588	1.2317	1.1098
No log	37.0	74	1.9722	0.0955	1.9713	1.4040
No log	38.0	76	2.3336	0.0716	2.3327	1.5273
No log	39.0	78	1.9849	0.1327	1.9841	1.4086
No log	40.0	80	1.0757	0.2728	1.0747	1.0367
No log	41.0	82	1.0250	0.3444	1.0241	1.0120
No log	42.0	84	1.4009	0.1991	1.4000	1.1832
No log	43.0	86	1.7059	0.1544	1.7049	1.3057
No log	44.0	88	1.4406	0.1675	1.4395	1.1998

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial3BERT_AugV8_k1_task1_organization_sp020_lw030_fold1

Trial3BERT_AugV8_k1_task1_organization_sp020_lw030_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k1_task1_organization_sp020_lw030_fold1