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	10.3883	0.0057	10.3856	3.2227
No log	2.0	4	8.1103	0.0	8.1077	2.8474
No log	3.0	6	6.1102	0.0062	6.1080	2.4714
No log	4.0	8	4.8250	0.0204	4.8227	2.1961
No log	5.0	10	3.5521	0.0	3.5500	1.8841
No log	6.0	12	2.7004	0.0	2.6985	1.6427
No log	7.0	14	2.1305	0.1616	2.1287	1.4590
No log	8.0	16	1.6214	0.0583	1.6199	1.2727
No log	9.0	18	1.8011	-0.0208	1.7997	1.3415
No log	10.0	20	1.3615	0.0	1.3602	1.1663
No log	11.0	22	1.0333	0.0315	1.0319	1.0158
No log	12.0	24	1.1561	0.0583	1.1546	1.0745
No log	13.0	26	1.0321	0.0521	1.0306	1.0152
No log	14.0	28	0.8213	0.2950	0.8200	0.9055
No log	15.0	30	0.8314	0.2348	0.8302	0.9112
No log	16.0	32	0.7791	0.2456	0.7780	0.8820
No log	17.0	34	0.6689	0.4111	0.6679	0.8172
No log	18.0	36	0.7590	0.4532	0.7579	0.8706
No log	19.0	38	0.7549	0.4779	0.7537	0.8682
No log	20.0	40	0.6309	0.4631	0.6298	0.7936
No log	21.0	42	0.6390	0.4470	0.6380	0.7987
No log	22.0	44	0.6932	0.4403	0.6920	0.8318
No log	23.0	46	0.6289	0.4705	0.6278	0.7924
No log	24.0	48	0.6202	0.4540	0.6192	0.7869
No log	25.0	50	0.5710	0.4953	0.5701	0.7550
No log	26.0	52	0.5393	0.5816	0.5384	0.7338
No log	27.0	54	0.5289	0.5728	0.5281	0.7267
No log	28.0	56	0.6654	0.5638	0.6648	0.8153
No log	29.0	58	0.6131	0.5774	0.6123	0.7825
No log	30.0	60	0.6177	0.5582	0.6166	0.7853
No log	31.0	62	0.6438	0.5385	0.6427	0.8017
No log	32.0	64	0.6327	0.5374	0.6316	0.7947
No log	33.0	66	0.6842	0.5184	0.6832	0.8265
No log	34.0	68	0.7380	0.4872	0.7371	0.8585
No log	35.0	70	0.5982	0.5816	0.5972	0.7728
No log	36.0	72	0.5703	0.6332	0.5693	0.7545
No log	37.0	74	0.7178	0.5928	0.7170	0.8468
No log	38.0	76	0.5886	0.6237	0.5877	0.7666
No log	39.0	78	0.6451	0.5930	0.6441	0.8025
No log	40.0	80	0.5854	0.6077	0.5844	0.7644
No log	41.0	82	0.7131	0.5485	0.7122	0.8439
No log	42.0	84	0.7142	0.5316	0.7132	0.8445
No log	43.0	86	0.6399	0.5393	0.6387	0.7992
No log	44.0	88	0.6800	0.5243	0.6787	0.8238
No log	45.0	90	0.8843	0.4659	0.8833	0.9399
No log	46.0	92	0.8516	0.4945	0.8506	0.9223
No log	47.0	94	0.7199	0.4471	0.7186	0.8477
No log	48.0	96	0.7028	0.4331	0.7015	0.8375
No log	49.0	98	0.7352	0.5237	0.7342	0.8568
No log	50.0	100	0.7925	0.5147	0.7915	0.8897
No log	51.0	102	0.6936	0.5386	0.6923	0.8320

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/BERT_AugV8_k1_task1_organization_sp010_lw050_fold1

BERT_AugV8_k1_task1_organization_sp010_lw050_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k1_task1_organization_sp010_lw050_fold1