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	9.8781	-0.0038	9.8781	3.1429
No log	2.0	4	8.4445	0.0	8.4445	2.9059
No log	3.0	6	7.5725	0.0	7.5725	2.7518
No log	4.0	8	6.2663	0.0094	6.2663	2.5033
No log	5.0	10	4.6167	0.0104	4.6167	2.1487
No log	6.0	12	4.1395	-0.0033	4.1395	2.0346
No log	7.0	14	2.9640	0.0	2.9640	1.7216
No log	8.0	16	2.2464	0.1730	2.2464	1.4988
No log	9.0	18	1.5881	0.0560	1.5881	1.2602
No log	10.0	20	1.2990	0.0213	1.2990	1.1397
No log	11.0	22	1.1441	0.0213	1.1441	1.0696
No log	12.0	24	0.9708	0.0213	0.9708	0.9853
No log	13.0	26	0.8811	0.1246	0.8811	0.9387
No log	14.0	28	0.8099	0.3300	0.8099	0.8999
No log	15.0	30	0.7579	0.4452	0.7579	0.8706
No log	16.0	32	0.7365	0.4706	0.7365	0.8582
No log	17.0	34	0.8590	0.3446	0.8590	0.9268
No log	18.0	36	1.0596	0.2828	1.0596	1.0294
No log	19.0	38	0.8446	0.4031	0.8446	0.9190
No log	20.0	40	0.6730	0.4424	0.6730	0.8204
No log	21.0	42	0.6245	0.4383	0.6245	0.7902
No log	22.0	44	0.5688	0.5195	0.5688	0.7542
No log	23.0	46	0.8618	0.3916	0.8618	0.9283
No log	24.0	48	0.8112	0.4003	0.8112	0.9007
No log	25.0	50	0.6157	0.4712	0.6157	0.7847
No log	26.0	52	0.5582	0.4780	0.5582	0.7471
No log	27.0	54	0.5566	0.4781	0.5566	0.7461
No log	28.0	56	0.5749	0.5108	0.5749	0.7582
No log	29.0	58	0.5684	0.5372	0.5684	0.7539
No log	30.0	60	0.5729	0.5559	0.5729	0.7569
No log	31.0	62	0.5702	0.5735	0.5702	0.7551
No log	32.0	64	0.5691	0.6041	0.5691	0.7544
No log	33.0	66	0.6082	0.5904	0.6082	0.7799
No log	34.0	68	0.6895	0.5711	0.6895	0.8303
No log	35.0	70	0.6611	0.5790	0.6611	0.8131
No log	36.0	72	0.6408	0.5972	0.6408	0.8005
No log	37.0	74	0.6595	0.5944	0.6595	0.8121
No log	38.0	76	0.6753	0.6014	0.6753	0.8218
No log	39.0	78	0.6025	0.5997	0.6025	0.7762
No log	40.0	80	0.6162	0.5803	0.6162	0.7850
No log	41.0	82	0.7623	0.5531	0.7623	0.8731
No log	42.0	84	0.6489	0.5711	0.6489	0.8056
No log	43.0	86	0.6748	0.5829	0.6748	0.8215
No log	44.0	88	0.7119	0.5895	0.7119	0.8437
No log	45.0	90	1.0049	0.5308	1.0049	1.0024
No log	46.0	92	1.0220	0.5076	1.0220	1.0109
No log	47.0	94	0.6904	0.5945	0.6904	0.8309

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_sp050_lw010_fold4

Trial3BERT_AugV8_k1_task1_organization_sp050_lw010_fold4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k1_task1_organization_sp050_lw010_fold4