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	8.4852	0.0	8.4852	2.9129
No log	2.0	6	7.1590	0.0	7.1590	2.6756
No log	3.0	9	5.7625	0.0	5.7625	2.4005
No log	4.0	12	4.4762	0.0	4.4762	2.1157
No log	5.0	15	3.2273	0.0	3.2273	1.7965
No log	6.0	18	2.2557	0.0	2.2557	1.5019
No log	7.0	21	1.8979	0.0	1.8979	1.3776
No log	8.0	24	1.3848	0.0	1.3848	1.1768
No log	9.0	27	2.0270	0.1705	2.0270	1.4237
No log	10.0	30	1.2183	0.0645	1.2183	1.1038
No log	11.0	33	1.5771	0.1507	1.5771	1.2558
No log	12.0	36	1.7096	0.1663	1.7096	1.3075
No log	13.0	39	0.9221	0.3715	0.9221	0.9602
No log	14.0	42	1.4840	0.2177	1.4840	1.2182
No log	15.0	45	0.8041	0.2641	0.8041	0.8967
No log	16.0	48	0.9191	0.2553	0.9191	0.9587
No log	17.0	51	0.8964	0.2742	0.8964	0.9468
No log	18.0	54	0.8434	0.3125	0.8434	0.9184
No log	19.0	57	1.1387	0.3096	1.1387	1.0671
No log	20.0	60	0.9706	0.3715	0.9706	0.9852
No log	21.0	63	0.9455	0.3384	0.9455	0.9724
No log	22.0	66	0.9312	0.4027	0.9312	0.9650
No log	23.0	69	0.8872	0.4607	0.8872	0.9419
No log	24.0	72	0.9483	0.3977	0.9483	0.9738
No log	25.0	75	0.9342	0.3771	0.9342	0.9666
No log	26.0	78	1.1814	0.2528	1.1814	1.0869
No log	27.0	81	0.8616	0.4288	0.8616	0.9282
No log	28.0	84	1.1006	0.3328	1.1006	1.0491
No log	29.0	87	0.7299	0.3671	0.7299	0.8543
No log	30.0	90	0.7621	0.4571	0.7621	0.8730
No log	31.0	93	0.7061	0.4644	0.7061	0.8403
No log	32.0	96	0.7702	0.4678	0.7702	0.8776
No log	33.0	99	0.7240	0.4435	0.7240	0.8509
No log	34.0	102	0.7839	0.4585	0.7839	0.8854
No log	35.0	105	0.7517	0.4859	0.7517	0.8670
No log	36.0	108	0.7927	0.4715	0.7927	0.8903
No log	37.0	111	0.7241	0.4344	0.7241	0.8510
No log	38.0	114	0.8139	0.5149	0.8139	0.9021
No log	39.0	117	0.7308	0.4345	0.7308	0.8548
No log	40.0	120	0.7701	0.4774	0.7701	0.8776
No log	41.0	123	0.7185	0.4438	0.7185	0.8477
No log	42.0	126	0.7083	0.4502	0.7083	0.8416
No log	43.0	129	0.7346	0.5136	0.7346	0.8571
No log	44.0	132	0.6953	0.4193	0.6953	0.8338
No log	45.0	135	0.8092	0.4383	0.8092	0.8996
No log	46.0	138	0.7804	0.4905	0.7804	0.8834
No log	47.0	141	0.7337	0.5136	0.7337	0.8566
No log	48.0	144	0.7383	0.4849	0.7383	0.8593
No log	49.0	147	0.6856	0.5096	0.6856	0.8280
No log	50.0	150	0.7516	0.5141	0.7516	0.8670
No log	51.0	153	0.7240	0.4725	0.7240	0.8509
No log	52.0	156	0.7582	0.4928	0.7582	0.8707
No log	53.0	159	0.6952	0.4528	0.6952	0.8338
No log	54.0	162	0.6798	0.4857	0.6798	0.8245
No log	55.0	165	0.6801	0.4979	0.6801	0.8247
No log	56.0	168	0.6730	0.5198	0.6730	0.8204
No log	57.0	171	0.6776	0.5233	0.6776	0.8232
No log	58.0	174	0.7555	0.4370	0.7555	0.8692
No log	59.0	177	0.6742	0.5176	0.6742	0.8211
No log	60.0	180	0.7532	0.4501	0.7532	0.8679
No log	61.0	183	0.7261	0.4410	0.7261	0.8521
No log	62.0	186	0.6738	0.4597	0.6738	0.8209
No log	63.0	189	0.6924	0.4408	0.6925	0.8321
No log	64.0	192	0.7135	0.4619	0.7135	0.8447
No log	65.0	195	0.7369	0.4526	0.7369	0.8584
No log	66.0	198	0.6962	0.4182	0.6962	0.8344
No log	67.0	201	0.6890	0.4830	0.6890	0.8301
No log	68.0	204	0.7368	0.4260	0.7368	0.8584
No log	69.0	207	0.7388	0.4502	0.7388	0.8595
No log	70.0	210	0.7749	0.4542	0.7749	0.8803
No log	71.0	213	0.7336	0.4552	0.7336	0.8565
No log	72.0	216	0.6934	0.4053	0.6934	0.8327
No log	73.0	219	0.7088	0.4124	0.7088	0.8419
No log	74.0	222	0.7313	0.4384	0.7313	0.8552
No log	75.0	225	0.7110	0.4151	0.7110	0.8432
No log	76.0	228	0.7118	0.4151	0.7118	0.8437
No log	77.0	231	0.7115	0.3853	0.7115	0.8435

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Version12NewTestASAP_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold0

Version12NewTestASAP_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Version12NewTestASAP_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold0