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	8	5.0409	0.0040	5.0409	2.2452
No log	2.0	16	2.1862	0.0698	2.1862	1.4786
No log	3.0	24	1.7213	0.0107	1.7213	1.3120
No log	4.0	32	1.7258	0.0107	1.7258	1.3137
No log	5.0	40	1.4764	0.0107	1.4764	1.2151
No log	6.0	48	1.4865	0.0193	1.4865	1.2192
No log	7.0	56	1.0276	0.0476	1.0276	1.0137
No log	8.0	64	0.8321	0.3497	0.8321	0.9122
No log	9.0	72	0.7965	0.3192	0.7965	0.8925
No log	10.0	80	1.0355	0.2455	1.0355	1.0176
No log	11.0	88	0.9125	0.3228	0.9125	0.9553
No log	12.0	96	0.8236	0.4221	0.8236	0.9075
No log	13.0	104	1.2920	0.3251	1.2920	1.1366
No log	14.0	112	0.9369	0.4466	0.9369	0.9679
No log	15.0	120	0.9173	0.4185	0.9173	0.9578
No log	16.0	128	1.0454	0.3812	1.0454	1.0224
No log	17.0	136	0.9650	0.3827	0.9650	0.9823
No log	18.0	144	1.2432	0.3084	1.2432	1.1150
No log	19.0	152	1.0101	0.4144	1.0101	1.0050
No log	20.0	160	0.8241	0.4529	0.8241	0.9078
No log	21.0	168	1.2157	0.3317	1.2157	1.1026
No log	22.0	176	0.8167	0.4519	0.8167	0.9037
No log	23.0	184	0.8093	0.4481	0.8093	0.8996
No log	24.0	192	0.7999	0.4352	0.7999	0.8944
No log	25.0	200	0.7822	0.4688	0.7822	0.8844
No log	26.0	208	0.8682	0.4014	0.8682	0.9318
No log	27.0	216	1.0535	0.3127	1.0535	1.0264
No log	28.0	224	0.8598	0.3872	0.8598	0.9273
No log	29.0	232	1.1012	0.3565	1.1012	1.0494
No log	30.0	240	0.9238	0.3765	0.9238	0.9611
No log	31.0	248	1.0756	0.3488	1.0756	1.0371
No log	32.0	256	0.7943	0.4458	0.7943	0.8913
No log	33.0	264	1.0404	0.3810	1.0404	1.0200
No log	34.0	272	0.7903	0.4279	0.7903	0.8890
No log	35.0	280	0.8774	0.4352	0.8774	0.9367
No log	36.0	288	0.7423	0.4520	0.7423	0.8615
No log	37.0	296	0.8766	0.3833	0.8766	0.9363
No log	38.0	304	0.7395	0.4239	0.7395	0.8599
No log	39.0	312	1.0511	0.3455	1.0511	1.0252
No log	40.0	320	1.3305	0.2871	1.3305	1.1535

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial3BERT_AugV8_k10_task1_organization_sp020_lw070_fold4

Trial3BERT_AugV8_k10_task1_organization_sp020_lw070_fold4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k10_task1_organization_sp020_lw070_fold4