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	7.5680	0.0	7.5680	2.7510
No log	2.0	8	5.8286	0.0209	5.8286	2.4142
No log	3.0	12	4.1438	0.0039	4.1438	2.0356
No log	4.0	16	2.5589	0.0128	2.5589	1.5997
No log	5.0	20	1.5430	0.0316	1.5430	1.2422
No log	6.0	24	1.0256	0.0316	1.0256	1.0127
No log	7.0	28	1.0420	0.0198	1.0420	1.0208
No log	8.0	32	0.7642	0.3313	0.7642	0.8742
No log	9.0	36	1.2586	0.0492	1.2586	1.1219
No log	10.0	40	0.8143	0.2271	0.8143	0.9024
No log	11.0	44	0.6847	0.3319	0.6847	0.8274
No log	12.0	48	0.6811	0.3250	0.6811	0.8253
No log	13.0	52	0.6398	0.3071	0.6398	0.7999
No log	14.0	56	0.6091	0.3933	0.6091	0.7804
No log	15.0	60	0.6472	0.3784	0.6472	0.8045
No log	16.0	64	0.8446	0.2724	0.8446	0.9190
No log	17.0	68	0.6490	0.4729	0.6490	0.8056
No log	18.0	72	0.9544	0.3182	0.9544	0.9769
No log	19.0	76	0.6676	0.4486	0.6676	0.8170
No log	20.0	80	0.6671	0.4194	0.6671	0.8167
No log	21.0	84	0.6817	0.4237	0.6817	0.8256
No log	22.0	88	0.7312	0.3720	0.7312	0.8551
No log	23.0	92	0.7738	0.3595	0.7738	0.8797
No log	24.0	96	0.6847	0.4491	0.6847	0.8275
No log	25.0	100	0.7958	0.3396	0.7958	0.8921
No log	26.0	104	0.6469	0.4721	0.6469	0.8043
No log	27.0	108	0.7670	0.3568	0.7670	0.8758
No log	28.0	112	0.7916	0.3102	0.7916	0.8897
No log	29.0	116	0.9812	0.2779	0.9812	0.9906
No log	30.0	120	0.8526	0.2990	0.8526	0.9234
No log	31.0	124	1.0105	0.1589	1.0105	1.0052
No log	32.0	128	0.9370	0.2270	0.9370	0.9680
No log	33.0	132	0.7289	0.3931	0.7289	0.8538
No log	34.0	136	0.8702	0.3759	0.8702	0.9328
No log	35.0	140	0.8352	0.3122	0.8352	0.9139
No log	36.0	144	0.8551	0.3162	0.8551	0.9247
No log	37.0	148	0.7893	0.3889	0.7893	0.8884
No log	38.0	152	0.8246	0.3016	0.8246	0.9081
No log	39.0	156	0.8727	0.2828	0.8727	0.9342
No log	40.0	160	0.8489	0.3043	0.8489	0.9213
No log	41.0	164	0.8176	0.3254	0.8176	0.9042
No log	42.0	168	0.8186	0.3357	0.8186	0.9048
No log	43.0	172	0.7299	0.3878	0.7299	0.8544
No log	44.0	176	0.8909	0.3039	0.8909	0.9439
No log	45.0	180	0.8116	0.3054	0.8116	0.9009
No log	46.0	184	0.7633	0.3155	0.7633	0.8737
No log	47.0	188	0.8276	0.3213	0.8276	0.9097

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/BERT_V8_sp20_lw10_ex50_lo00_k5_k5_fold0

BERT_V8_sp20_lw10_ex50_lo00_k5_k5_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_V8_sp20_lw10_ex50_lo00_k5_k5_fold0