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	9.4018	0.0	9.3993	3.0658
No log	2.0	4	7.6753	0.0	7.6729	2.7700
No log	3.0	6	6.2308	0.0	6.2285	2.4957
No log	4.0	8	5.0605	0.0035	5.0583	2.2491
No log	5.0	10	4.0520	0.0	4.0499	2.0124
No log	6.0	12	3.3405	0.0	3.3385	1.8271
No log	7.0	14	2.9044	0.0	2.9024	1.7036
No log	8.0	16	2.3147	0.1265	2.3128	1.5208
No log	9.0	18	1.9252	0.0506	1.9235	1.3869
No log	10.0	20	1.6860	0.0568	1.6843	1.2978
No log	11.0	22	1.6448	0.0797	1.6431	1.2818
No log	12.0	24	1.3302	0.0315	1.3286	1.1526
No log	13.0	26	1.0570	0.0	1.0556	1.0274
No log	14.0	28	0.9545	0.0	0.9532	0.9763
No log	15.0	30	1.0749	0.0	1.0734	1.0360
No log	16.0	32	1.1473	0.0379	1.1456	1.0703
No log	17.0	34	0.7346	0.3993	0.7332	0.8563
No log	18.0	36	0.7041	0.3939	0.7027	0.8383
No log	19.0	38	1.0095	0.3026	1.0079	1.0039
No log	20.0	40	0.8230	0.4056	0.8214	0.9063
No log	21.0	42	0.6460	0.4082	0.6447	0.8029
No log	22.0	44	0.8083	0.4100	0.8067	0.8981
No log	23.0	46	0.9929	0.3605	0.9910	0.9955
No log	24.0	48	0.6913	0.4309	0.6897	0.8305
No log	25.0	50	0.6834	0.4331	0.6817	0.8257
No log	26.0	52	0.9562	0.3917	0.9542	0.9768
No log	27.0	54	0.8305	0.4300	0.8285	0.9102
No log	28.0	56	0.7703	0.4133	0.7684	0.8766
No log	29.0	58	0.9061	0.4001	0.9040	0.9508
No log	30.0	60	0.8199	0.4249	0.8180	0.9044
No log	31.0	62	0.7158	0.4961	0.7142	0.8451
No log	32.0	64	0.7966	0.4523	0.7948	0.8915
No log	33.0	66	0.7108	0.4992	0.7091	0.8421
No log	34.0	68	0.7930	0.4838	0.7912	0.8895
No log	35.0	70	0.8769	0.4476	0.8749	0.9354
No log	36.0	72	0.7823	0.4726	0.7806	0.8835
No log	37.0	74	0.8388	0.4627	0.8370	0.9149
No log	38.0	76	0.8246	0.4587	0.8228	0.9071
No log	39.0	78	1.0051	0.3918	1.0032	1.0016
No log	40.0	80	0.8932	0.4416	0.8914	0.9441
No log	41.0	82	0.8830	0.4525	0.8812	0.9387
No log	42.0	84	0.9515	0.4401	0.9496	0.9745
No log	43.0	86	0.8236	0.4494	0.8218	0.9065
No log	44.0	88	0.9214	0.4300	0.9195	0.9589
No log	45.0	90	0.8749	0.4367	0.8730	0.9344
No log	46.0	92	0.8363	0.4600	0.8344	0.9135
No log	47.0	94	0.8898	0.4389	0.8878	0.9422
No log	48.0	96	0.8363	0.4674	0.8344	0.9135

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/BERT_AugV8_k1_task1_organization_sp060_lw010_fold1

BERT_AugV8_k1_task1_organization_sp060_lw010_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k1_task1_organization_sp060_lw010_fold1