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	9.9981	0.0336	9.9981	3.1620
No log	2.0	6	6.7423	0.0	6.7423	2.5966
No log	3.0	9	4.4609	0.0180	4.4609	2.1121
No log	4.0	12	2.8900	0.0	2.8900	1.7000
No log	5.0	15	1.9474	0.1561	1.9474	1.3955
No log	6.0	18	1.4633	0.0	1.4633	1.2097
No log	7.0	21	1.1168	0.0	1.1168	1.0568
No log	8.0	24	0.9412	0.1915	0.9412	0.9701
No log	9.0	27	0.9696	0.0564	0.9696	0.9847
No log	10.0	30	1.1680	0.0564	1.1680	1.0807
No log	11.0	33	1.4077	0.0564	1.4077	1.1865
No log	12.0	36	1.4151	0.2724	1.4151	1.1896
No log	13.0	39	1.6291	0.2016	1.6291	1.2763
No log	14.0	42	1.0054	0.4526	1.0054	1.0027
No log	15.0	45	0.5359	0.5748	0.5359	0.7321
No log	16.0	48	0.6062	0.6224	0.6062	0.7786
No log	17.0	51	0.5832	0.6770	0.5832	0.7637
No log	18.0	54	0.8478	0.6463	0.8478	0.9207
No log	19.0	57	0.7240	0.6703	0.7240	0.8509
No log	20.0	60	0.6114	0.7059	0.6114	0.7819
No log	21.0	63	1.7898	0.5016	1.7898	1.3378
No log	22.0	66	0.4931	0.7219	0.4931	0.7022
No log	23.0	69	0.5038	0.7095	0.5038	0.7098
No log	24.0	72	1.0810	0.5770	1.0810	1.0397
No log	25.0	75	0.5638	0.7087	0.5638	0.7509
No log	26.0	78	0.8018	0.6640	0.8018	0.8954
No log	27.0	81	0.8623	0.6364	0.8623	0.9286
No log	28.0	84	1.2830	0.5624	1.2830	1.1327
No log	29.0	87	0.8037	0.6704	0.8037	0.8965
No log	30.0	90	0.8360	0.6553	0.8360	0.9143
No log	31.0	93	1.3146	0.56	1.3146	1.1465
No log	32.0	96	0.7946	0.6285	0.7946	0.8914
No log	33.0	99	1.0620	0.5773	1.0620	1.0306
No log	34.0	102	0.8012	0.6654	0.8012	0.8951
No log	35.0	105	1.1798	0.5826	1.1798	1.0862
No log	36.0	108	0.8982	0.6041	0.8982	0.9477
No log	37.0	111	0.6262	0.7019	0.6262	0.7913
No log	38.0	114	1.3644	0.5538	1.3644	1.1681
No log	39.0	117	0.8182	0.6614	0.8182	0.9045
No log	40.0	120	0.8033	0.6326	0.8033	0.8963
No log	41.0	123	0.9924	0.5498	0.9924	0.9962
No log	42.0	126	0.8235	0.6521	0.8235	0.9075

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Version12LowDevASAP_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_fold1

Version12LowDevASAP_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Version12LowDevASAP_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_fold1