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	10.5237	0.0234	10.5209	3.2436
No log	2.0	4	8.9176	0.0	8.9151	2.9858
No log	3.0	6	6.9806	0.0	6.9783	2.6416
No log	4.0	8	5.3295	0.0636	5.3272	2.3081
No log	5.0	10	4.3555	0.0118	4.3536	2.0865
No log	6.0	12	3.7402	0.0	3.7384	1.9335
No log	7.0	14	2.8778	0.0	2.8759	1.6958
No log	8.0	16	2.4227	0.0028	2.4208	1.5559
No log	9.0	18	1.9317	0.0545	1.9300	1.3892
No log	10.0	20	1.4568	0.0315	1.4553	1.2064
No log	11.0	22	1.1778	0.0106	1.1764	1.0846
No log	12.0	24	0.9958	0.0211	0.9945	0.9972
No log	13.0	26	1.0447	0.0482	1.0432	1.0214
No log	14.0	28	0.8876	0.1193	0.8862	0.9414
No log	15.0	30	0.8350	0.2611	0.8336	0.9130
No log	16.0	32	1.0100	0.2431	1.0084	1.0042
No log	17.0	34	0.8037	0.3434	0.8024	0.8957
No log	18.0	36	0.7791	0.3605	0.7778	0.8819
No log	19.0	38	0.8035	0.3729	0.8022	0.8956
No log	20.0	40	0.6883	0.3888	0.6872	0.8290
No log	21.0	42	0.6614	0.4421	0.6603	0.8126
No log	22.0	44	0.6189	0.4840	0.6180	0.7861
No log	23.0	46	0.7084	0.4373	0.7075	0.8412
No log	24.0	48	0.6285	0.4571	0.6275	0.7922
No log	25.0	50	0.6933	0.4447	0.6923	0.8320
No log	26.0	52	0.6905	0.5098	0.6895	0.8304
No log	27.0	54	0.6922	0.5320	0.6912	0.8314
No log	28.0	56	0.7009	0.5493	0.7000	0.8367
No log	29.0	58	0.7820	0.5244	0.7811	0.8838
No log	30.0	60	0.8934	0.4567	0.8923	0.9446
No log	31.0	62	0.9197	0.4195	0.9186	0.9584
No log	32.0	64	0.9327	0.4247	0.9317	0.9653
No log	33.0	66	0.8646	0.4313	0.8633	0.9291
No log	34.0	68	0.7834	0.4959	0.7822	0.8844
No log	35.0	70	0.8461	0.4696	0.8451	0.9193
No log	36.0	72	0.7148	0.5445	0.7138	0.8449
No log	37.0	74	1.0780	0.3701	1.0767	1.0377
No log	38.0	76	1.0198	0.3670	1.0186	1.0093
No log	39.0	78	0.7868	0.4619	0.7859	0.8865
No log	40.0	80	0.9322	0.4485	0.9315	0.9651
No log	41.0	82	0.9201	0.3868	0.9190	0.9587
No log	42.0	84	1.1310	0.3245	1.1297	1.0629
No log	43.0	86	0.8724	0.3767	0.8713	0.9334

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial2BERT_AugV8_k1_task1_organization_sp010_lw070_fold1

Trial2BERT_AugV8_k1_task1_organization_sp010_lw070_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial2BERT_AugV8_k1_task1_organization_sp010_lw070_fold1