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	2	11.1298	0.0120	11.1279	3.3359
No log	2.0	4	9.7543	0.0	9.7524	3.1229
No log	3.0	6	8.7350	0.0	8.7332	2.9552
No log	4.0	8	7.7719	0.0	7.7702	2.7875
No log	5.0	10	6.4740	0.0	6.4725	2.5441
No log	6.0	12	5.3620	0.0224	5.3607	2.3153
No log	7.0	14	4.1030	0.0	4.1018	2.0253
No log	8.0	16	2.9003	0.0003	2.8994	1.7027
No log	9.0	18	2.1863	0.0652	2.1855	1.4783
No log	10.0	20	2.1343	0.0588	2.1335	1.4607
No log	11.0	22	1.4917	0.0202	1.4910	1.2210
No log	12.0	24	1.3264	0.0193	1.3256	1.1514
No log	13.0	26	1.0718	0.0202	1.0711	1.0349
No log	14.0	28	1.3001	0.0202	1.2993	1.1399
No log	15.0	30	1.4149	0.0202	1.4140	1.1891
No log	16.0	32	1.1791	0.0202	1.1784	1.0856
No log	17.0	34	0.8979	0.1787	0.8975	0.9473
No log	18.0	36	0.7682	0.4352	0.7679	0.8763
No log	19.0	38	0.7645	0.4031	0.7643	0.8742
No log	20.0	40	0.8540	0.2647	0.8537	0.9240
No log	21.0	42	1.0551	0.1595	1.0548	1.0270
No log	22.0	44	0.8921	0.2942	0.8919	0.9444
No log	23.0	46	0.7714	0.4699	0.7715	0.8783
No log	24.0	48	0.7422	0.4675	0.7422	0.8615
No log	25.0	50	1.1075	0.2709	1.1073	1.0523
No log	26.0	52	1.0096	0.3094	1.0094	1.0047
No log	27.0	54	0.5903	0.5039	0.5906	0.7685
No log	28.0	56	0.6134	0.5214	0.6139	0.7835
No log	29.0	58	0.5874	0.5301	0.5879	0.7667
No log	30.0	60	0.6384	0.4808	0.6386	0.7991
No log	31.0	62	0.7280	0.4474	0.7279	0.8532
No log	32.0	64	0.5818	0.5180	0.5821	0.7629
No log	33.0	66	0.5429	0.5538	0.5434	0.7372
No log	34.0	68	0.5641	0.6026	0.5644	0.7513
No log	35.0	70	0.6115	0.6133	0.6117	0.7821
No log	36.0	72	0.5943	0.5537	0.5947	0.7711
No log	37.0	74	0.6196	0.5465	0.6199	0.7874
No log	38.0	76	0.6730	0.5763	0.6733	0.8206
No log	39.0	78	0.6280	0.6024	0.6284	0.7927
No log	40.0	80	0.6327	0.5681	0.6332	0.7957
No log	41.0	82	0.7600	0.5426	0.7603	0.8719
No log	42.0	84	0.8627	0.4899	0.8629	0.9289
No log	43.0	86	0.7285	0.5307	0.7291	0.8539
No log	44.0	88	0.9019	0.4950	0.9029	0.9502
No log	45.0	90	0.7147	0.5478	0.7153	0.8458
No log	46.0	92	1.0636	0.4014	1.0637	1.0314
No log	47.0	94	0.8839	0.4701	0.8841	0.9403
No log	48.0	96	0.6776	0.5633	0.6780	0.8234
No log	49.0	98	0.6671	0.5640	0.6674	0.8169
No log	50.0	100	0.7893	0.5176	0.7895	0.8885

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial3BERT_AugV8_k1_task1_organization_sp010_lw070_fold3

Trial3BERT_AugV8_k1_task1_organization_sp010_lw070_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k1_task1_organization_sp010_lw070_fold3