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	4	6.4219	-0.0018	6.4220	2.5342
No log	2.0	8	4.8317	0.0041	4.8322	2.1982
No log	3.0	12	3.0152	0.0	3.0157	1.7366
No log	4.0	16	2.0803	0.1212	2.0808	1.4425
No log	5.0	20	1.4314	0.0590	1.4319	1.1966
No log	6.0	24	1.7583	0.0068	1.7588	1.3262
No log	7.0	28	1.1621	0.1594	1.1626	1.0782
No log	8.0	32	1.0965	0.0360	1.0967	1.0472
No log	9.0	36	0.9351	0.3922	0.9356	0.9672
No log	10.0	40	1.1965	-0.0776	1.1970	1.0941
No log	11.0	44	1.0112	0.0458	1.0115	1.0057
No log	12.0	48	1.5023	0.2834	1.5028	1.2259
No log	13.0	52	1.2301	-0.1479	1.2306	1.1093
No log	14.0	56	1.1050	0.2999	1.1053	1.0513
No log	15.0	60	0.7926	0.3592	0.7927	0.8904
No log	16.0	64	0.7791	0.2176	0.7791	0.8827
No log	17.0	68	0.7407	0.4504	0.7406	0.8606
No log	18.0	72	0.6685	0.4010	0.6682	0.8175
No log	19.0	76	0.6473	0.4195	0.6470	0.8043
No log	20.0	80	0.6017	0.4517	0.6013	0.7754
No log	21.0	84	0.8466	0.3971	0.8460	0.9198
No log	22.0	88	0.7181	0.5324	0.7180	0.8473
No log	23.0	92	0.8748	0.3615	0.8741	0.9349
No log	24.0	96	0.7366	0.4762	0.7362	0.8580
No log	25.0	100	0.7521	0.4714	0.7518	0.8670
No log	26.0	104	1.0886	0.3269	1.0879	1.0430
No log	27.0	108	0.9507	0.3770	0.9501	0.9747
No log	28.0	112	1.2139	0.2685	1.2130	1.1014
No log	29.0	116	0.8855	0.5048	0.8849	0.9407
No log	30.0	120	1.5318	0.1644	1.5309	1.2373
No log	31.0	124	0.9668	0.4298	0.9661	0.9829
No log	32.0	128	1.4346	0.0746	1.4341	1.1975
No log	33.0	132	1.0485	0.3551	1.0479	1.0237
No log	34.0	136	1.4192	0.2183	1.4185	1.1910
No log	35.0	140	0.8133	0.4930	0.8129	0.9016
No log	36.0	144	1.5415	0.1543	1.5410	1.2414
No log	37.0	148	1.0571	0.3625	1.0565	1.0278
No log	38.0	152	1.3386	0.1735	1.3380	1.1567
No log	39.0	156	0.9515	0.4420	0.9510	0.9752
No log	40.0	160	1.1290	0.3709	1.1283	1.0622
No log	41.0	164	1.2783	0.3009	1.2776	1.1303
No log	42.0	168	1.2715	0.3141	1.2707	1.1273
No log	43.0	172	1.1013	0.4020	1.1005	1.0491
No log	44.0	176	1.5151	0.1977	1.5145	1.2307
No log	45.0	180	1.1251	0.3708	1.1242	1.0603
No log	46.0	184	1.4255	0.2688	1.4248	1.1936
No log	47.0	188	1.3832	0.3213	1.3824	1.1758
No log	48.0	192	1.5331	0.2131	1.5323	1.2378
No log	49.0	196	1.0717	0.4280	1.0707	1.0348
No log	50.0	200	1.4161	0.2864	1.4153	1.1897
No log	51.0	204	1.1162	0.4350	1.1153	1.0561
No log	52.0	208	1.6182	0.2346	1.6174	1.2718

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/ASAP_FineTuningBERT_AugV21_k3_task1_organization_k3_k3_fold2

ASAP_FineTuningBERT_AugV21_k3_task1_organization_k3_k3_fold2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
ASAP_FineTuningBERT_AugV21_k3_task1_organization_k3_k3_fold2