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	1	17.2667	0.0	17.2667	4.1553
No log	2.0	2	14.7245	-0.0007	14.7245	3.8373
No log	3.0	3	11.6651	-0.0095	11.6651	3.4154
No log	4.0	4	11.2242	0.0054	11.2242	3.3503
No log	5.0	5	10.8051	0.0036	10.8051	3.2871
No log	6.0	6	10.3157	0.0018	10.3157	3.2118
No log	7.0	7	9.6905	0.0018	9.6905	3.1130
No log	8.0	8	8.8736	0.0018	8.8736	2.9789
No log	9.0	9	7.9262	0.0018	7.9262	2.8154
No log	10.0	10	7.0868	0.0018	7.0868	2.6621
No log	11.0	11	6.2783	0.0076	6.2783	2.5056
No log	12.0	12	5.3811	0.0348	5.3811	2.3197
No log	13.0	13	4.6928	0.0086	4.6928	2.1663
No log	14.0	14	4.3207	0.0139	4.3207	2.0786
No log	15.0	15	3.8861	0.0115	3.8861	1.9713
No log	16.0	16	3.2574	0.0115	3.2574	1.8048
No log	17.0	17	2.7637	0.0115	2.7637	1.6624
No log	18.0	18	2.4892	0.1382	2.4892	1.5777
No log	19.0	19	2.2357	0.1636	2.2357	1.4952
No log	20.0	20	2.0631	0.0947	2.0631	1.4363
No log	21.0	21	1.8083	0.0777	1.8083	1.3447
No log	22.0	22	1.5020	0.0678	1.5020	1.2256
No log	23.0	23	1.3112	0.0838	1.3112	1.1451
No log	24.0	24	1.1763	0.0838	1.1763	1.0846
No log	25.0	25	1.0897	0.0678	1.0897	1.0439
No log	26.0	26	1.0015	0.0681	1.0015	1.0008
No log	27.0	27	0.8997	0.0743	0.8997	0.9485
No log	28.0	28	0.8210	0.3242	0.8210	0.9061
No log	29.0	29	0.7477	0.3706	0.7477	0.8647
No log	30.0	30	0.7429	0.2643	0.7429	0.8619
No log	31.0	31	0.7376	0.2327	0.7376	0.8589
No log	32.0	32	0.6834	0.3154	0.6834	0.8267
No log	33.0	33	0.6046	0.4007	0.6046	0.7776
No log	34.0	34	0.5776	0.4610	0.5776	0.7600
No log	35.0	35	0.5973	0.3822	0.5973	0.7728
No log	36.0	36	0.5891	0.4051	0.5891	0.7675
No log	37.0	37	0.5413	0.4712	0.5413	0.7358
No log	38.0	38	0.5203	0.5003	0.5203	0.7213
No log	39.0	39	0.5458	0.4749	0.5458	0.7388
No log	40.0	40	0.6126	0.4448	0.6126	0.7827
No log	41.0	41	0.6014	0.4765	0.6014	0.7755
No log	42.0	42	0.5168	0.6018	0.5168	0.7189
No log	43.0	43	0.5220	0.6143	0.5220	0.7225
No log	44.0	44	0.5929	0.5637	0.5929	0.7700
No log	45.0	45	0.6265	0.5637	0.6265	0.7915
No log	46.0	46	0.5794	0.5935	0.5794	0.7612
No log	47.0	47	0.5481	0.6340	0.5481	0.7403
No log	48.0	48	0.6304	0.5904	0.6304	0.7940
No log	49.0	49	0.6011	0.6068	0.6011	0.7753
No log	50.0	50	0.6114	0.6164	0.6114	0.7819
No log	51.0	51	0.6049	0.6187	0.6049	0.7778
No log	52.0	52	0.7293	0.5914	0.7293	0.8540
No log	53.0	53	0.7031	0.6012	0.7031	0.8385
No log	54.0	54	0.5678	0.6550	0.5678	0.7535
No log	55.0	55	0.5841	0.6546	0.5841	0.7643
No log	56.0	56	0.7588	0.6043	0.7588	0.8711
No log	57.0	57	0.8422	0.5843	0.8422	0.9177
No log	58.0	58	0.7216	0.6220	0.7216	0.8495
No log	59.0	59	0.6290	0.6639	0.6290	0.7931
No log	60.0	60	0.6597	0.6525	0.6597	0.8122
No log	61.0	61	0.8013	0.6132	0.8013	0.8952
No log	62.0	62	0.7869	0.6297	0.7869	0.8871
No log	63.0	63	0.6571	0.6588	0.6571	0.8106
No log	64.0	64	0.5740	0.6344	0.5740	0.7577
No log	65.0	65	0.5703	0.6326	0.5703	0.7552
No log	66.0	66	0.6266	0.6417	0.6266	0.7916
No log	67.0	67	0.8431	0.6127	0.8431	0.9182
No log	68.0	68	0.9374	0.5579	0.9374	0.9682
No log	69.0	69	0.8475	0.5766	0.8475	0.9206
No log	70.0	70	0.6622	0.6290	0.6622	0.8138
No log	71.0	71	0.5598	0.6273	0.5598	0.7482
No log	72.0	72	0.5586	0.6155	0.5586	0.7474
No log	73.0	73	0.5596	0.6192	0.5596	0.7481
No log	74.0	74	0.6074	0.6291	0.6074	0.7794
No log	75.0	75	0.7111	0.6139	0.7111	0.8433
No log	76.0	76	0.7237	0.6074	0.7237	0.8507
No log	77.0	77	0.6522	0.6278	0.6522	0.8076
No log	78.0	78	0.6028	0.6206	0.6028	0.7764
No log	79.0	79	0.5700	0.6163	0.5700	0.7550

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

genki10/Version_weird_ASAP_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold0

Version_weird_ASAP_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/
Version_weird_ASAP_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold0