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	8.5935	0.0048	8.5935	2.9315
No log	2.0	4	5.5067	0.0293	5.5067	2.3466
No log	3.0	6	4.5296	0.0156	4.5296	2.1283
No log	4.0	8	3.4367	0.0118	3.4367	1.8538
No log	5.0	10	2.8612	0.0079	2.8612	1.6915
No log	6.0	12	2.2714	0.1003	2.2714	1.5071
No log	7.0	14	1.8333	0.0420	1.8333	1.3540
No log	8.0	16	1.4486	0.0420	1.4486	1.2036
No log	9.0	18	1.1948	0.0420	1.1948	1.0931
No log	10.0	20	1.0950	0.0722	1.0950	1.0464
No log	11.0	22	1.0287	0.0867	1.0287	1.0142
No log	12.0	24	0.9346	0.1226	0.9346	0.9667
No log	13.0	26	0.8793	0.1589	0.8793	0.9377
No log	14.0	28	0.9328	0.2322	0.9328	0.9658
No log	15.0	30	0.9957	0.2800	0.9957	0.9979
No log	16.0	32	1.4912	0.2791	1.4912	1.2211
No log	17.0	34	1.2277	0.3185	1.2277	1.1080
No log	18.0	36	0.7588	0.5036	0.7588	0.8711
No log	19.0	38	0.9207	0.4571	0.9207	0.9595
No log	20.0	40	2.2742	0.2091	2.2742	1.5080
No log	21.0	42	2.0986	0.2189	2.0986	1.4487
No log	22.0	44	0.7004	0.5131	0.7004	0.8369
No log	23.0	46	0.6393	0.4762	0.6393	0.7996
No log	24.0	48	1.0753	0.3537	1.0753	1.0369
No log	25.0	50	1.0973	0.3574	1.0973	1.0475
No log	26.0	52	0.6700	0.4857	0.6700	0.8185
No log	27.0	54	0.6520	0.5100	0.6520	0.8074
No log	28.0	56	0.9073	0.4483	0.9073	0.9525
No log	29.0	58	0.6733	0.5298	0.6733	0.8206
No log	30.0	60	0.6370	0.5618	0.6370	0.7982
No log	31.0	62	0.7950	0.5155	0.7950	0.8916
No log	32.0	64	1.0988	0.3902	1.0988	1.0483
No log	33.0	66	0.6872	0.5068	0.6872	0.8290
No log	34.0	68	0.7685	0.4742	0.7685	0.8766
No log	35.0	70	0.6799	0.5327	0.6799	0.8245
No log	36.0	72	0.7229	0.5059	0.7229	0.8502
No log	37.0	74	0.7970	0.4736	0.7970	0.8928
No log	38.0	76	0.6808	0.5305	0.6808	0.8251
No log	39.0	78	0.9791	0.4062	0.9791	0.9895
No log	40.0	80	0.8661	0.4533	0.8661	0.9306
No log	41.0	82	0.6364	0.5480	0.6364	0.7978
No log	42.0	84	0.7233	0.5019	0.7233	0.8505
No log	43.0	86	1.2842	0.3008	1.2842	1.1332
No log	44.0	88	0.9351	0.4265	0.9351	0.9670
No log	45.0	90	0.6969	0.5086	0.6969	0.8348

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/BERT_AugV8_k1_task1_organization_sp030_lw050_fold4

BERT_AugV8_k1_task1_organization_sp030_lw050_fold4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k1_task1_organization_sp030_lw050_fold4