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	1	9.5578	0.0054	9.5578	3.0916
No log	2.0	2	8.5083	0.0036	8.5083	2.9169
No log	3.0	3	7.9650	0.0	7.9650	2.8222
No log	4.0	4	7.4805	0.0	7.4805	2.7351
No log	5.0	5	7.0638	0.0	7.0638	2.6578
No log	6.0	6	6.6262	0.0	6.6262	2.5741
No log	7.0	7	6.1579	-0.0019	6.1579	2.4815
No log	8.0	8	5.5804	0.0122	5.5804	2.3623
No log	9.0	9	4.9283	0.0115	4.9283	2.2200
No log	10.0	10	4.3294	0.0077	4.3294	2.0807
No log	11.0	11	3.8407	0.0039	3.8407	1.9598
No log	12.0	12	3.5215	0.0	3.5215	1.8766
No log	13.0	13	3.2346	0.0	3.2346	1.7985
No log	14.0	14	2.9054	0.0	2.9054	1.7045
No log	15.0	15	2.5711	0.0069	2.5711	1.6035
No log	16.0	16	2.2692	0.0826	2.2692	1.5064
No log	17.0	17	2.0348	0.0484	2.0348	1.4264
No log	18.0	18	1.8334	0.0316	1.8334	1.3540
No log	19.0	19	1.6195	0.0316	1.6195	1.2726
No log	20.0	20	1.4756	0.0316	1.4756	1.2147
No log	21.0	21	1.3355	0.0316	1.3355	1.1556
No log	22.0	22	1.1449	0.0316	1.1449	1.0700
No log	23.0	23	1.0417	0.0316	1.0417	1.0206
No log	24.0	24	0.9703	0.0316	0.9703	0.9851
No log	25.0	25	0.9810	0.0484	0.9810	0.9905
No log	26.0	26	0.8887	0.1259	0.8887	0.9427
No log	27.0	27	0.7863	0.3666	0.7863	0.8868
No log	28.0	28	0.7459	0.4404	0.7459	0.8637
No log	29.0	29	0.8302	0.4015	0.8302	0.9112
No log	30.0	30	0.9848	0.3310	0.9848	0.9924
No log	31.0	31	0.7842	0.4574	0.7842	0.8855
No log	32.0	32	0.6009	0.4989	0.6009	0.7752
No log	33.0	33	0.5727	0.5083	0.5727	0.7568
No log	34.0	34	0.6597	0.5153	0.6597	0.8122
No log	35.0	35	1.2066	0.2903	1.2066	1.0985
No log	36.0	36	1.4388	0.2453	1.4388	1.1995
No log	37.0	37	1.1939	0.3100	1.1939	1.0926
No log	38.0	38	0.7203	0.5066	0.7203	0.8487
No log	39.0	39	0.6142	0.5327	0.6142	0.7837
No log	40.0	40	0.6956	0.4951	0.6956	0.8340
No log	41.0	41	1.0754	0.3316	1.0754	1.0370
No log	42.0	42	1.2070	0.2986	1.2070	1.0986
No log	43.0	43	1.0068	0.3662	1.0068	1.0034
No log	44.0	44	0.6725	0.4966	0.6725	0.8201
No log	45.0	45	0.6407	0.5018	0.6407	0.8005
No log	46.0	46	0.7704	0.4495	0.7704	0.8777
No log	47.0	47	1.1610	0.3129	1.1610	1.0775
No log	48.0	48	1.2576	0.2966	1.2576	1.1214
No log	49.0	49	1.0008	0.3990	1.0008	1.0004
No log	50.0	50	0.6665	0.4701	0.6665	0.8164
No log	51.0	51	0.6261	0.5165	0.6261	0.7913
No log	52.0	52	0.6604	0.5278	0.6604	0.8127
No log	53.0	53	0.9085	0.4237	0.9085	0.9532
No log	54.0	54	1.0608	0.3596	1.0608	1.0300

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial3BERT_AugV8_k1_task1_organization_sp010_lw010_fold0

Trial3BERT_AugV8_k1_task1_organization_sp010_lw010_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k1_task1_organization_sp010_lw010_fold0