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	9.6600	0.0	9.6603	3.1081
No log	2.0	4	9.2323	0.0	9.2324	3.0385
No log	3.0	6	8.8238	0.0	8.8239	2.9705
No log	4.0	8	8.0241	0.0	8.0242	2.8327
No log	5.0	10	6.6496	0.0	6.6498	2.5787
No log	6.0	12	5.7625	0.0139	5.7628	2.4006
No log	7.0	14	4.9866	0.0039	4.9869	2.2331
No log	8.0	16	4.0714	0.0039	4.0718	2.0179
No log	9.0	18	3.3788	0.0	3.3792	1.8383
No log	10.0	20	2.8845	0.0	2.8849	1.6985
No log	11.0	22	2.6917	0.0	2.6922	1.6408
No log	12.0	24	2.3590	0.1177	2.3594	1.5360
No log	13.0	26	1.9664	0.0501	1.9668	1.4024
No log	14.0	28	1.6914	0.0107	1.6918	1.3007
No log	15.0	30	1.5309	0.0174	1.5313	1.2375
No log	16.0	32	1.5249	0.0565	1.5255	1.2351
No log	17.0	34	1.4057	0.0787	1.4062	1.1858
No log	18.0	36	1.2116	0.0870	1.2121	1.1009
No log	19.0	38	1.7294	0.1789	1.7300	1.3153
No log	20.0	40	1.4712	0.1659	1.4717	1.2131
No log	21.0	42	1.1117	0.1476	1.1120	1.0545
No log	22.0	44	2.0788	0.1654	2.0792	1.4419
No log	23.0	46	2.0019	0.1595	2.0020	1.4149
No log	24.0	48	1.0313	0.3153	1.0312	1.0155
No log	25.0	50	1.1042	0.3097	1.1039	1.0507
No log	26.0	52	2.0112	0.1664	2.0109	1.4181
No log	27.0	54	1.1285	0.3261	1.1284	1.0623
No log	28.0	56	0.8012	0.4184	0.8011	0.8950
No log	29.0	58	1.1684	0.3316	1.1683	1.0809
No log	30.0	60	2.4209	0.1282	2.4207	1.5559
No log	31.0	62	1.8016	0.2195	1.8010	1.3420
No log	32.0	64	1.2084	0.3117	1.2074	1.0988
No log	33.0	66	1.2793	0.2894	1.2782	1.1306
No log	34.0	68	2.3420	0.1479	2.3413	1.5301
No log	35.0	70	2.5561	0.1299	2.5554	1.5986
No log	36.0	72	1.6778	0.2438	1.6767	1.2949
No log	37.0	74	1.1035	0.3255	1.1026	1.0500
No log	38.0	76	1.1660	0.3352	1.1653	1.0795
No log	39.0	78	2.4733	0.1432	2.4732	1.5727
No log	40.0	80	2.6709	0.1108	2.6709	1.6343
No log	41.0	82	1.5979	0.2556	1.5976	1.2640
No log	42.0	84	1.3233	0.3253	1.3225	1.1500
No log	43.0	86	1.7444	0.2557	1.7433	1.3204

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_sp020_lw070_fold2

BERT_AugV8_k1_task1_organization_sp020_lw070_fold2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k1_task1_organization_sp020_lw070_fold2