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	8.7568	0.0018	8.7568	2.9592
No log	2.0	8	5.7643	0.0216	5.7643	2.4009
No log	3.0	12	3.6832	0.0040	3.6832	1.9192
No log	4.0	16	2.1437	0.1308	2.1437	1.4642
No log	5.0	20	1.2976	0.0212	1.2976	1.1391
No log	6.0	24	0.9535	0.0130	0.9535	0.9765
No log	7.0	28	1.0177	0.0499	1.0177	1.0088
No log	8.0	32	0.9200	0.1285	0.9200	0.9592
No log	9.0	36	0.8951	0.2928	0.8951	0.9461
No log	10.0	40	0.8704	0.3883	0.8704	0.9330
No log	11.0	44	0.7059	0.5021	0.7059	0.8402
No log	12.0	48	1.8128	0.3264	1.8128	1.3464
No log	13.0	52	0.7723	0.5286	0.7723	0.8788
No log	14.0	56	0.9455	0.4274	0.9455	0.9724
No log	15.0	60	0.8998	0.4329	0.8998	0.9486
No log	16.0	64	0.8302	0.4550	0.8302	0.9112
No log	17.0	68	0.9300	0.4411	0.9300	0.9643
No log	18.0	72	1.5181	0.3300	1.5181	1.2321
No log	19.0	76	0.7680	0.5483	0.7680	0.8764
No log	20.0	80	1.4795	0.3305	1.4795	1.2164
No log	21.0	84	0.8542	0.4489	0.8542	0.9242
No log	22.0	88	1.0146	0.3854	1.0146	1.0073
No log	23.0	92	1.0281	0.3613	1.0281	1.0140
No log	24.0	96	0.9194	0.4190	0.9194	0.9589
No log	25.0	100	0.9391	0.4293	0.9391	0.9691
No log	26.0	104	0.8839	0.4379	0.8839	0.9401
No log	27.0	108	0.9891	0.3962	0.9891	0.9945
No log	28.0	112	0.9459	0.3953	0.9459	0.9726
No log	29.0	116	1.2771	0.3025	1.2771	1.1301
No log	30.0	120	0.9734	0.4044	0.9734	0.9866
No log	31.0	124	0.9602	0.4060	0.9602	0.9799
No log	32.0	128	1.0287	0.3550	1.0287	1.0143
No log	33.0	132	0.9878	0.3695	0.9878	0.9939
No log	34.0	136	0.9601	0.4081	0.9601	0.9798
No log	35.0	140	1.4084	0.2852	1.4084	1.1868
No log	36.0	144	0.7218	0.5422	0.7218	0.8496
No log	37.0	148	1.7538	0.2587	1.7538	1.3243
No log	38.0	152	0.9599	0.3823	0.9599	0.9798
No log	39.0	156	1.1335	0.3336	1.1335	1.0647
No log	40.0	160	0.8421	0.4492	0.8421	0.9176
No log	41.0	164	1.2807	0.2865	1.2807	1.1317
No log	42.0	168	1.0096	0.3571	1.0096	1.0048
No log	43.0	172	0.7829	0.4811	0.7829	0.8848
No log	44.0	176	0.9438	0.3983	0.9438	0.9715
No log	45.0	180	0.8128	0.4388	0.8128	0.9016
No log	46.0	184	1.1045	0.3273	1.1045	1.0510
No log	47.0	188	0.7185	0.5090	0.7185	0.8477
No log	48.0	192	0.9865	0.3904	0.9865	0.9932
No log	49.0	196	0.8229	0.4329	0.8229	0.9071

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/BERT_V8_sp20_lw10_ex30_lo00_k5_k5_fold4

BERT_V8_sp20_lw10_ex30_lo00_k5_k5_fold4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_V8_sp20_lw10_ex30_lo00_k5_k5_fold4