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	4	9.7685	0.0036	9.7687	3.1255
No log	2.0	8	6.0202	0.0135	6.0206	2.4537
No log	3.0	12	3.3631	0.0039	3.3636	1.8340
No log	4.0	16	1.9187	0.0870	1.9191	1.3853
No log	5.0	20	1.2338	0.0318	1.2343	1.1110
No log	6.0	24	1.8410	0.1207	1.8415	1.3570
No log	7.0	28	1.5074	0.1078	1.5078	1.2279
No log	8.0	32	1.3331	0.0953	1.3335	1.1548
No log	9.0	36	2.1357	0.1608	2.1360	1.4615
No log	10.0	40	1.5535	0.1369	1.5536	1.2464
No log	11.0	44	2.2711	0.0673	2.2708	1.5069
No log	12.0	48	1.8079	0.0725	1.8073	1.3444
No log	13.0	52	2.3779	0.0388	2.3767	1.5417
No log	14.0	56	2.4841	0.0332	2.4829	1.5757
No log	15.0	60	1.2348	0.1800	1.2341	1.1109
No log	16.0	64	2.6005	0.0294	2.5992	1.6122
No log	17.0	68	2.7244	0.0269	2.7230	1.6502
No log	18.0	72	2.3212	0.0503	2.3201	1.5232
No log	19.0	76	3.1101	0.0229	3.1091	1.7633
No log	20.0	80	1.5391	0.1138	1.5384	1.2403
No log	21.0	84	1.6260	0.1213	1.6253	1.2749
No log	22.0	88	2.2310	0.0305	2.2303	1.4934
No log	23.0	92	2.1359	0.0476	2.1352	1.4612
No log	24.0	96	1.6651	0.1318	1.6644	1.2901
No log	25.0	100	2.0510	0.0755	2.0504	1.4319
No log	26.0	104	2.1374	0.0613	2.1367	1.4617
No log	27.0	108	1.9386	0.0810	1.9379	1.3921
No log	28.0	112	1.3344	0.1660	1.3338	1.1549
No log	29.0	116	2.1799	0.0317	2.1792	1.4762
No log	30.0	120	2.3025	0.0263	2.3018	1.5172
No log	31.0	124	1.4941	0.1277	1.4935	1.2221
No log	32.0	128	1.9566	0.0606	1.9559	1.3985
No log	33.0	132	2.2461	0.0473	2.2454	1.4985
No log	34.0	136	1.6378	0.1153	1.6371	1.2795
No log	35.0	140	2.1053	0.0441	2.1046	1.4507
No log	36.0	144	1.9816	0.0626	1.9809	1.4074
No log	37.0	148	2.1044	0.0563	2.1038	1.4505
No log	38.0	152	1.7341	0.0910	1.7336	1.3167
No log	39.0	156	1.6207	0.0852	1.6202	1.2729
No log	40.0	160	2.3920	0.0218	2.3914	1.5464
No log	41.0	164	1.8443	0.0697	1.8438	1.3579
No log	42.0	168	1.8421	0.0734	1.8415	1.3570
No log	43.0	172	2.3795	0.0459	2.3791	1.5424
No log	44.0	176	1.6724	0.1047	1.6720	1.2931
No log	45.0	180	1.7127	0.1059	1.7123	1.3085

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/BERT_V8_sp20_lw10_ex100_lo00_k5_k5_fold2

BERT_V8_sp20_lw10_ex100_lo00_k5_k5_fold2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_V8_sp20_lw10_ex100_lo00_k5_k5_fold2