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	3	9.0916	0.0	9.0901	3.0150
No log	2.0	6	5.8161	0.0404	5.8148	2.4114
No log	3.0	9	3.9853	0.0076	3.9842	1.9961
No log	4.0	12	2.6536	0.0287	2.6527	1.6287
No log	5.0	15	1.9293	0.0482	1.9286	1.3887
No log	6.0	18	1.4957	0.0202	1.4949	1.2227
No log	7.0	21	1.0704	0.0202	1.0698	1.0343
No log	8.0	24	1.5895	0.0202	1.5884	1.2603
No log	9.0	27	1.1075	0.0202	1.1067	1.0520
No log	10.0	30	0.9358	0.1601	0.9354	0.9671
No log	11.0	33	0.9064	0.2140	0.9061	0.9519
No log	12.0	36	0.9537	0.2367	0.9535	0.9765
No log	13.0	39	0.6894	0.3783	0.6894	0.8303
No log	14.0	42	0.7475	0.4089	0.7477	0.8647
No log	15.0	45	0.6487	0.3584	0.6491	0.8057
No log	16.0	48	0.6223	0.4488	0.6226	0.7891
No log	17.0	51	0.5983	0.4585	0.5985	0.7736
No log	18.0	54	0.7824	0.3754	0.7825	0.8846
No log	19.0	57	0.8957	0.3438	0.8957	0.9464
No log	20.0	60	0.9031	0.3432	0.9032	0.9504
No log	21.0	63	0.9045	0.3565	0.9046	0.9511
No log	22.0	66	0.7251	0.4623	0.7253	0.8516
No log	23.0	69	1.0239	0.3239	1.0240	1.0119
No log	24.0	72	0.7145	0.4672	0.7147	0.8454
No log	25.0	75	1.1569	0.2702	1.1573	1.0758
No log	26.0	78	0.9610	0.3359	0.9613	0.9805
No log	27.0	81	0.6844	0.4785	0.6845	0.8274
No log	28.0	84	1.0282	0.3287	1.0282	1.0140
No log	29.0	87	0.7815	0.4294	0.7816	0.8841
No log	30.0	90	1.4778	0.2543	1.4779	1.2157
No log	31.0	93	0.8692	0.3669	0.8693	0.9324
No log	32.0	96	0.6602	0.4960	0.6603	0.8126
No log	33.0	99	1.5579	0.1880	1.5576	1.2480
No log	34.0	102	1.6340	0.1865	1.6336	1.2781
No log	35.0	105	0.6595	0.5025	0.6597	0.8122
No log	36.0	108	0.8181	0.4820	0.8182	0.9046
No log	37.0	111	0.8006	0.4193	0.8009	0.8949
No log	38.0	114	1.3579	0.2523	1.3581	1.1654
No log	39.0	117	0.7067	0.4606	0.7070	0.8408
No log	40.0	120	0.7128	0.4627	0.7130	0.8444
No log	41.0	123	1.0671	0.3119	1.0673	1.0331
No log	42.0	126	0.7612	0.4171	0.7615	0.8726
No log	43.0	129	0.8213	0.3915	0.8215	0.9064
No log	44.0	132	0.9351	0.3686	0.9353	0.9671
No log	45.0	135	0.7109	0.4557	0.7112	0.8433
No log	46.0	138	0.8852	0.3582	0.8853	0.9409
No log	47.0	141	0.9227	0.3374	0.9228	0.9606
No log	48.0	144	0.6791	0.4785	0.6793	0.8242
No log	49.0	147	0.9634	0.3347	0.9634	0.9815
No log	50.0	150	0.7376	0.4208	0.7377	0.8589

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial3BERT_AugV8_k3_task1_organization_sp010_lw030_fold3

Trial3BERT_AugV8_k3_task1_organization_sp010_lw030_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k3_task1_organization_sp010_lw030_fold3