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: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	3	8.4304	0.0	8.4288	2.9032
No log	2.0	6	5.2006	0.0197	5.1993	2.2802
No log	3.0	9	3.7130	0.0076	3.7119	1.9266
No log	4.0	12	2.5274	0.1081	2.5265	1.5895
No log	5.0	15	1.9426	0.0577	1.9418	1.3935
No log	6.0	18	1.4444	0.0202	1.4436	1.2015
No log	7.0	21	1.9282	0.1122	1.9274	1.3883
No log	8.0	24	1.6367	0.1143	1.6360	1.2791
No log	9.0	27	0.9910	0.0586	0.9906	0.9953
No log	10.0	30	1.6691	0.1188	1.6686	1.2917
No log	11.0	33	0.9604	0.2284	0.9603	0.9799
No log	12.0	36	0.9544	0.3000	0.9542	0.9768
No log	13.0	39	1.1488	0.2624	1.1488	1.0718
No log	14.0	42	0.8931	0.3891	0.8934	0.9452
No log	15.0	45	1.5555	0.2202	1.5558	1.2473
No log	16.0	48	0.7702	0.4032	0.7706	0.8778
No log	17.0	51	0.9606	0.3649	0.9611	0.9804
No log	18.0	54	1.0885	0.3585	1.0889	1.0435
No log	19.0	57	1.2149	0.3420	1.2152	1.1024
No log	20.0	60	1.1262	0.3835	1.1265	1.0614
No log	21.0	63	1.1846	0.3302	1.1848	1.0885
No log	22.0	66	0.9726	0.3591	0.9729	0.9864
No log	23.0	69	1.0764	0.3293	1.0768	1.0377
No log	24.0	72	0.9869	0.3610	0.9873	0.9936
No log	25.0	75	1.3654	0.2827	1.3657	1.1686
No log	26.0	78	0.7871	0.4242	0.7873	0.8873
No log	27.0	81	1.2446	0.2982	1.2447	1.1156
No log	28.0	84	0.9008	0.3961	0.9008	0.9491
No log	29.0	87	0.9258	0.3879	0.9258	0.9622
No log	30.0	90	1.3330	0.2823	1.3330	1.1545
No log	31.0	93	0.8635	0.4095	0.8637	0.9294
No log	32.0	96	1.2824	0.2923	1.2825	1.1325
No log	33.0	99	0.8316	0.4154	0.8319	0.9121
No log	34.0	102	0.9750	0.3590	0.9752	0.9875
No log	35.0	105	1.5087	0.2316	1.5089	1.2284
No log	36.0	108	0.7963	0.4145	0.7965	0.8925
No log	37.0	111	0.7785	0.4341	0.7786	0.8824
No log	38.0	114	1.2736	0.3133	1.2737	1.1286
No log	39.0	117	0.8676	0.4028	0.8677	0.9315
No log	40.0	120	0.9003	0.4136	0.9004	0.9489
No log	41.0	123	0.9561	0.3677	0.9563	0.9779
No log	42.0	126	0.8818	0.3849	0.8821	0.9392
No log	43.0	129	0.8306	0.4116	0.8308	0.9115
No log	44.0	132	0.9409	0.3879	0.9410	0.9701
No log	45.0	135	0.7813	0.4303	0.7814	0.8840
No log	46.0	138	0.9220	0.3834	0.9221	0.9603
No log	47.0	141	0.8494	0.4312	0.8497	0.9218
No log	48.0	144	1.0995	0.3645	1.0998	1.0487
No log	49.0	147	0.8535	0.4254	0.8538	0.9240
No log	50.0	150	0.9967	0.3933	0.9970	0.9985
No log	51.0	153	0.9349	0.3942	0.9352	0.9671
No log	52.0	156	0.8959	0.4160	0.8963	0.9467
No log	53.0	159	1.0811	0.3650	1.0815	1.0399
No log	54.0	162	0.8304	0.4129	0.8307	0.9114
No log	55.0	165	1.0880	0.3617	1.0883	1.0432
No log	56.0	168	1.0209	0.3696	1.0212	1.0105
No log	57.0	171	0.7802	0.5074	0.7804	0.8834
No log	58.0	174	0.7995	0.4670	0.7997	0.8943
No log	59.0	177	0.9966	0.3836	0.9968	0.9984
No log	60.0	180	0.7808	0.4046	0.7809	0.8837
No log	61.0	183	0.7831	0.4009	0.7833	0.8850
No log	62.0	186	0.9516	0.3975	0.9519	0.9756
No log	63.0	189	0.8986	0.4122	0.8989	0.9481
No log	64.0	192	0.9518	0.3920	0.9522	0.9758
No log	65.0	195	0.9525	0.4069	0.9528	0.9761
No log	66.0	198	0.8527	0.4043	0.8530	0.9236
No log	67.0	201	0.9181	0.4090	0.9183	0.9583
No log	68.0	204	0.8541	0.4101	0.8542	0.9243
No log	69.0	207	0.8559	0.4305	0.8561	0.9253
No log	70.0	210	0.9306	0.4100	0.9307	0.9647
No log	71.0	213	0.8745	0.4353	0.8747	0.9352
No log	72.0	216	0.8437	0.4373	0.8438	0.9186
No log	73.0	219	0.8872	0.4286	0.8874	0.9420
No log	74.0	222	0.9521	0.4066	0.9523	0.9758
No log	75.0	225	0.8215	0.4335	0.8217	0.9065
No log	76.0	228	0.9019	0.4306	0.9020	0.9498
No log	77.0	231	0.8870	0.4279	0.8871	0.9418

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/ASAP_changed_semanticV2_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold3

ASAP_changed_semanticV2_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
ASAP_changed_semanticV2_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold3