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	10.1995	0.0031	10.1978	3.1934
No log	2.0	4	7.0937	0.0	7.0924	2.6632
No log	3.0	6	5.0598	0.0245	5.0587	2.2491
No log	4.0	8	4.5666	0.0	4.5652	2.1366
No log	5.0	10	3.2671	0.0	3.2659	1.8072
No log	6.0	12	2.6356	0.0023	2.6347	1.6232
No log	7.0	14	2.3052	0.0731	2.3044	1.5180
No log	8.0	16	1.9932	0.0355	1.9925	1.4115
No log	9.0	18	1.4433	0.0266	1.4427	1.2011
No log	10.0	20	1.0799	0.0365	1.0794	1.0390
No log	11.0	22	0.9155	0.1231	0.9151	0.9566
No log	12.0	24	0.9441	0.1382	0.9437	0.9715
No log	13.0	26	0.9011	0.2203	0.9009	0.9492
No log	14.0	28	0.7817	0.4271	0.7817	0.8841
No log	15.0	30	1.0837	0.2959	1.0837	1.0410
No log	16.0	32	0.8117	0.4347	0.8120	0.9011
No log	17.0	34	0.6544	0.4437	0.6547	0.8091
No log	18.0	36	0.6460	0.4579	0.6464	0.8040
No log	19.0	38	0.7363	0.4590	0.7367	0.8583
No log	20.0	40	0.5671	0.4879	0.5677	0.7534
No log	21.0	42	0.5735	0.4762	0.5741	0.7577
No log	22.0	44	0.6184	0.4670	0.6190	0.7868
No log	23.0	46	1.1029	0.3473	1.1031	1.0503
No log	24.0	48	1.5131	0.2792	1.5132	1.2301
No log	25.0	50	0.6839	0.5099	0.6843	0.8272
No log	26.0	52	0.8935	0.4395	0.8943	0.9457
No log	27.0	54	0.7872	0.4877	0.7879	0.8876
No log	28.0	56	0.5782	0.5885	0.5787	0.7607
No log	29.0	58	0.6727	0.5363	0.6732	0.8205
No log	30.0	60	0.5773	0.5595	0.5778	0.7602
No log	31.0	62	0.5917	0.5431	0.5922	0.7696
No log	32.0	64	0.5970	0.5759	0.5975	0.7730
No log	33.0	66	0.5752	0.5953	0.5756	0.7587
No log	34.0	68	0.7543	0.5411	0.7546	0.8687
No log	35.0	70	0.7545	0.5255	0.7548	0.8688
No log	36.0	72	0.5790	0.5669	0.5793	0.7611
No log	37.0	74	0.6178	0.5728	0.6182	0.7862
No log	38.0	76	0.7274	0.5103	0.7276	0.8530
No log	39.0	78	0.6875	0.5313	0.6879	0.8294
No log	40.0	80	0.6553	0.5551	0.6558	0.8098
No log	41.0	82	0.7434	0.5003	0.7438	0.8624
No log	42.0	84	0.8146	0.4778	0.8150	0.9028
No log	43.0	86	0.6520	0.5594	0.6526	0.8078
No log	44.0	88	0.6492	0.5695	0.6497	0.8061
No log	45.0	90	0.6815	0.5368	0.6820	0.8258
No log	46.0	92	0.6190	0.5663	0.6196	0.7871
No log	47.0	94	0.6039	0.5472	0.6045	0.7775
No log	48.0	96	0.6302	0.5566	0.6307	0.7942

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial3BERT_AugV8_k1_task1_organization_sp020_lw070_fold3

Trial3BERT_AugV8_k1_task1_organization_sp020_lw070_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k1_task1_organization_sp020_lw070_fold3