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	8.1179	0.0	8.1179	2.8492
No log	2.0	6	6.8565	0.0	6.8565	2.6185
No log	3.0	9	5.6113	0.0109	5.6113	2.3688
No log	4.0	12	4.4494	0.0039	4.4494	2.1094
No log	5.0	15	3.3295	0.0	3.3295	1.8247
No log	6.0	18	2.3273	0.1075	2.3273	1.5256
No log	7.0	21	1.6664	0.0316	1.6664	1.2909
No log	8.0	24	1.2358	0.0316	1.2358	1.1117
No log	9.0	27	0.9136	0.0212	0.9136	0.9558
No log	10.0	30	0.8122	0.1169	0.8122	0.9012
No log	11.0	33	0.7537	0.1122	0.7537	0.8681
No log	12.0	36	0.8849	0.0689	0.8849	0.9407
No log	13.0	39	1.0941	0.0521	1.0941	1.0460
No log	14.0	42	1.2201	0.1777	1.2201	1.1046
No log	15.0	45	1.4972	0.1256	1.4972	1.2236
No log	16.0	48	1.5334	0.1778	1.5334	1.2383
No log	17.0	51	0.9629	0.3892	0.9629	0.9813
No log	18.0	54	1.2940	0.3631	1.2940	1.1375
No log	19.0	57	0.5059	0.6003	0.5059	0.7113
No log	20.0	60	0.5014	0.6382	0.5014	0.7081
No log	21.0	63	0.5027	0.6401	0.5027	0.7090
No log	22.0	66	0.5326	0.6735	0.5326	0.7298
No log	23.0	69	0.7563	0.5385	0.7563	0.8697
No log	24.0	72	0.7424	0.6244	0.7424	0.8616
No log	25.0	75	0.9074	0.5712	0.9074	0.9526
No log	26.0	78	0.4789	0.6343	0.4789	0.6920
No log	27.0	81	0.7175	0.6150	0.7175	0.8470
No log	28.0	84	0.5264	0.6693	0.5264	0.7255
No log	29.0	87	0.7449	0.5688	0.7449	0.8630
No log	30.0	90	0.7971	0.6096	0.7971	0.8928
No log	31.0	93	0.7191	0.6183	0.7191	0.8480
No log	32.0	96	0.4510	0.6532	0.4510	0.6716
No log	33.0	99	0.5846	0.6352	0.5846	0.7646
No log	34.0	102	0.4591	0.6509	0.4591	0.6776
No log	35.0	105	0.5984	0.5770	0.5984	0.7735
No log	36.0	108	0.5321	0.6350	0.5321	0.7295
No log	37.0	111	0.5876	0.6409	0.5876	0.7665
No log	38.0	114	0.6478	0.5649	0.6478	0.8049
No log	39.0	117	0.7050	0.5219	0.7050	0.8397
No log	40.0	120	0.4870	0.6264	0.4870	0.6978
No log	41.0	123	1.3350	0.4588	1.3350	1.1554
No log	42.0	126	1.0779	0.5038	1.0779	1.0382

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

genki10/Version2ASAP_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_fold0

Version2ASAP_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Version2ASAP_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_fold0