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	10.0832	0.0084	10.0836	3.1755
No log	2.0	6	7.1222	0.0	7.1224	2.6688
No log	3.0	9	4.3644	0.0189	4.3648	2.0892
No log	4.0	12	2.7795	0.0101	2.7799	1.6673
No log	5.0	15	1.7043	0.0893	1.7047	1.3056
No log	6.0	18	1.1951	0.0372	1.1954	1.0933
No log	7.0	21	1.4362	0.0372	1.4366	1.1986
No log	8.0	24	1.1544	0.0345	1.1547	1.0746
No log	9.0	27	1.0899	0.0608	1.0901	1.0441
No log	10.0	30	1.4217	0.1634	1.4218	1.1924
No log	11.0	33	0.8343	0.1772	0.8346	0.9135
No log	12.0	36	0.8265	0.3616	0.8263	0.9090
No log	13.0	39	1.8068	0.2160	1.8067	1.3441
No log	14.0	42	0.6956	0.3576	0.6956	0.8340
No log	15.0	45	0.6633	0.3845	0.6633	0.8144
No log	16.0	48	1.5941	0.2225	1.5940	1.2625
No log	17.0	51	0.8005	0.3876	0.7999	0.8944
No log	18.0	54	0.8083	0.3923	0.8075	0.8986
No log	19.0	57	1.2674	0.2801	1.2665	1.1254
No log	20.0	60	0.9751	0.3757	0.9743	0.9871
No log	21.0	63	1.3175	0.2478	1.3165	1.1474
No log	22.0	66	1.0010	0.3920	1.0002	1.0001
No log	23.0	69	1.4539	0.2587	1.4532	1.2055
No log	24.0	72	0.8174	0.4253	0.8165	0.9036
No log	25.0	75	1.1594	0.3217	1.1583	1.0763
No log	26.0	78	0.9125	0.4030	0.9113	0.9546
No log	27.0	81	1.1320	0.3374	1.1307	1.0633
No log	28.0	84	0.9776	0.4137	0.9764	0.9881
No log	29.0	87	0.8487	0.4608	0.8476	0.9206
No log	30.0	90	1.0077	0.3646	1.0069	1.0034
No log	31.0	93	0.8949	0.4146	0.8936	0.9453
No log	32.0	96	1.1782	0.3076	1.1767	1.0848
No log	33.0	99	0.8248	0.4095	0.8237	0.9076
No log	34.0	102	0.8467	0.4257	0.8456	0.9196
No log	35.0	105	0.9283	0.3931	0.9271	0.9629
No log	36.0	108	0.9502	0.3950	0.9493	0.9743
No log	37.0	111	0.8129	0.4821	0.8119	0.9010
No log	38.0	114	0.9654	0.4458	0.9642	0.9819
No log	39.0	117	0.9659	0.4469	0.9646	0.9822
No log	40.0	120	0.8323	0.4264	0.8315	0.9119
No log	41.0	123	0.8996	0.4031	0.8991	0.9482
No log	42.0	126	0.9642	0.3927	0.9632	0.9814
No log	43.0	129	1.0684	0.3491	1.0672	1.0331
No log	44.0	132	1.0888	0.3960	1.0874	1.0428
No log	45.0	135	0.9335	0.4269	0.9323	0.9656
No log	46.0	138	0.8494	0.4693	0.8484	0.9211
No log	47.0	141	0.9484	0.4299	0.9476	0.9734
No log	48.0	144	0.7838	0.4930	0.7829	0.8848
No log	49.0	147	0.9458	0.4368	0.9450	0.9721
No log	50.0	150	0.8163	0.4594	0.8155	0.9030
No log	51.0	153	0.9493	0.4671	0.9482	0.9738
No log	52.0	156	0.9390	0.4246	0.9382	0.9686
No log	53.0	159	0.8788	0.4692	0.8779	0.9369
No log	54.0	162	0.8902	0.4433	0.8892	0.9430
No log	55.0	165	0.9012	0.4234	0.9002	0.9488
No log	56.0	168	0.7827	0.4562	0.7819	0.8842
No log	57.0	171	0.8817	0.4250	0.8807	0.9385
No log	58.0	174	0.7831	0.4753	0.7823	0.8845
No log	59.0	177	0.8543	0.4442	0.8534	0.9238
No log	60.0	180	1.2164	0.3736	1.2151	1.1023
No log	61.0	183	0.9440	0.4566	0.9429	0.9710
No log	62.0	186	0.9830	0.4239	0.9820	0.9909
No log	63.0	189	0.9670	0.4250	0.9660	0.9829
No log	64.0	192	0.9311	0.4371	0.9303	0.9645
No log	65.0	195	0.8610	0.4391	0.8602	0.9275
No log	66.0	198	0.8969	0.4153	0.8958	0.9465
No log	67.0	201	0.8375	0.4484	0.8366	0.9147
No log	68.0	204	0.9021	0.4415	0.9011	0.9493
No log	69.0	207	0.9728	0.4262	0.9717	0.9858
No log	70.0	210	0.9948	0.4293	0.9937	0.9968
No log	71.0	213	0.8439	0.4567	0.8430	0.9182
No log	72.0	216	0.8164	0.4576	0.8156	0.9031
No log	73.0	219	0.8945	0.4614	0.8937	0.9454
No log	74.0	222	0.8629	0.4577	0.8619	0.9284
No log	75.0	225	0.8053	0.4665	0.8044	0.8969
No log	76.0	228	0.8956	0.4419	0.8947	0.9459
No log	77.0	231	1.0011	0.3846	0.9999	1.0000
No log	78.0	234	0.8719	0.4720	0.8708	0.9332

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Version24NewTestASAP_FineTuningBERT_AugV24_k5_task1_organization_k5_k5_fold2

Version24NewTestASAP_FineTuningBERT_AugV24_k5_task1_organization_k5_k5_fold2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Version24NewTestASAP_FineTuningBERT_AugV24_k5_task1_organization_k5_k5_fold2