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	9.3353	0.0036	9.3357	3.0554
No log	2.0	4	8.5979	0.0	8.5982	2.9323
No log	3.0	6	7.5847	0.0	7.5850	2.7541
No log	4.0	8	6.3943	0.0	6.3946	2.5287
No log	5.0	10	5.3761	0.0078	5.3764	2.3187
No log	6.0	12	4.5129	0.0	4.5132	2.1244
No log	7.0	14	3.8022	0.0	3.8025	1.9500
No log	8.0	16	3.2688	0.0	3.2692	1.8081
No log	9.0	18	2.7320	0.0	2.7324	1.6530
No log	10.0	20	2.1348	0.0714	2.1352	1.4612
No log	11.0	22	1.7191	0.0213	1.7196	1.3113
No log	12.0	24	1.4222	0.0	1.4226	1.1927
No log	13.0	26	1.2602	0.0	1.2606	1.1228
No log	14.0	28	1.1195	0.0425	1.1198	1.0582
No log	15.0	30	1.1868	0.1532	1.1870	1.0895
No log	16.0	32	0.8874	0.0447	0.8876	0.9421
No log	17.0	34	0.8742	0.1007	0.8745	0.9351
No log	18.0	36	0.8794	0.4619	0.8795	0.9378
No log	19.0	38	0.8143	0.5140	0.8145	0.9025
No log	20.0	40	0.7537	0.3407	0.7540	0.8683
No log	21.0	42	0.8661	0.0766	0.8665	0.9309
No log	22.0	44	0.7604	0.3024	0.7608	0.8722
No log	23.0	46	0.8262	0.2433	0.8266	0.9092
No log	24.0	48	0.6823	0.5195	0.6826	0.8262
No log	25.0	50	0.6609	0.3862	0.6611	0.8131
No log	26.0	52	0.7341	0.3370	0.7344	0.8570
No log	27.0	54	0.7559	0.3797	0.7562	0.8696
No log	28.0	56	0.7912	0.3123	0.7914	0.8896
No log	29.0	58	0.7262	0.4647	0.7263	0.8522
No log	30.0	60	0.6152	0.5230	0.6152	0.7844
No log	31.0	62	0.6482	0.4997	0.6483	0.8052
No log	32.0	64	0.8060	0.3424	0.8063	0.8979
No log	33.0	66	0.6465	0.4859	0.6465	0.8040
No log	34.0	68	0.6781	0.4425	0.6782	0.8235
No log	35.0	70	0.7824	0.3080	0.7828	0.8848
No log	36.0	72	0.5996	0.4404	0.5994	0.7742
No log	37.0	74	0.6215	0.4141	0.6215	0.7883
No log	38.0	76	0.7794	0.2969	0.7799	0.8831
No log	39.0	78	0.6526	0.4845	0.6525	0.8077
No log	40.0	80	0.6484	0.5130	0.6482	0.8051
No log	41.0	82	0.7065	0.4118	0.7066	0.8406
No log	42.0	84	0.6777	0.4613	0.6777	0.8232
No log	43.0	86	0.6824	0.5005	0.6823	0.8260
No log	44.0	88	0.7293	0.4405	0.7297	0.8542
No log	45.0	90	0.7990	0.3646	0.7995	0.8942

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_lw060_fold2

Trial2BERT_AugV8_k1_task1_organization_sp010_lw060_fold2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial2BERT_AugV8_k1_task1_organization_sp010_lw060_fold2