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	8.1301	0.0	8.1301	2.8513
No log	2.0	6	6.8378	0.0	6.8378	2.6149
No log	3.0	9	5.5209	0.0112	5.5209	2.3497
No log	4.0	12	4.3058	0.0077	4.3058	2.0751
No log	5.0	15	3.1159	0.0	3.1159	1.7652
No log	6.0	18	2.1843	0.1123	2.1843	1.4779
No log	7.0	21	1.4741	0.0316	1.4741	1.2141
No log	8.0	24	1.4846	0.0664	1.4846	1.2184
No log	9.0	27	1.4777	0.1094	1.4777	1.2156
No log	10.0	30	1.1392	0.0825	1.1392	1.0673
No log	11.0	33	1.4945	0.1673	1.4945	1.2225
No log	12.0	36	0.8352	0.2243	0.8352	0.9139
No log	13.0	39	0.9172	0.3585	0.9172	0.9577
No log	14.0	42	0.7542	0.3562	0.7542	0.8684
No log	15.0	45	0.8207	0.3954	0.8207	0.9059
No log	16.0	48	0.6451	0.4114	0.6451	0.8032
No log	17.0	51	0.6419	0.4146	0.6419	0.8012
No log	18.0	54	0.6389	0.4316	0.6389	0.7993
No log	19.0	57	0.6179	0.4485	0.6179	0.7861
No log	20.0	60	0.6878	0.4906	0.6878	0.8294
No log	21.0	63	0.6655	0.5193	0.6655	0.8158
No log	22.0	66	0.7434	0.4686	0.7434	0.8622
No log	23.0	69	0.6867	0.4910	0.6867	0.8287
No log	24.0	72	0.7239	0.4837	0.7239	0.8508
No log	25.0	75	0.6632	0.5430	0.6632	0.8143
No log	26.0	78	0.6238	0.5380	0.6238	0.7898
No log	27.0	81	0.6387	0.5438	0.6387	0.7992
No log	28.0	84	0.6600	0.5283	0.6600	0.8124
No log	29.0	87	0.6091	0.5438	0.6091	0.7805
No log	30.0	90	0.6530	0.5239	0.6530	0.8081
No log	31.0	93	0.6281	0.5600	0.6281	0.7925
No log	32.0	96	0.6216	0.5451	0.6216	0.7884
No log	33.0	99	0.6949	0.5094	0.6949	0.8336
No log	34.0	102	0.6444	0.5211	0.6444	0.8027
No log	35.0	105	0.8480	0.5024	0.8480	0.9208
No log	36.0	108	0.7456	0.4936	0.7456	0.8635
No log	37.0	111	0.7963	0.5110	0.7963	0.8924
No log	38.0	114	0.6897	0.5251	0.6897	0.8305
No log	39.0	117	0.7708	0.4636	0.7708	0.8779
No log	40.0	120	0.7184	0.5082	0.7184	0.8476
No log	41.0	123	0.7010	0.4793	0.7010	0.8372
No log	42.0	126	0.6692	0.5022	0.6692	0.8181
No log	43.0	129	0.7888	0.4832	0.7888	0.8881
No log	44.0	132	0.6608	0.4833	0.6608	0.8129
No log	45.0	135	0.6821	0.5109	0.6821	0.8259
No log	46.0	138	0.7346	0.5111	0.7346	0.8571
No log	47.0	141	0.7087	0.5129	0.7087	0.8419
No log	48.0	144	0.6850	0.5301	0.6850	0.8276
No log	49.0	147	0.7084	0.5161	0.7084	0.8416
No log	50.0	150	0.6484	0.5036	0.6484	0.8052
No log	51.0	153	0.6620	0.5040	0.6620	0.8136

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/ASAP_changed_semanticV2_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold0

ASAP_changed_semanticV2_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/
ASAP_changed_semanticV2_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold0