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	9.3063	0.0	9.3063	3.0506
No log	2.0	4	7.8312	0.0	7.8312	2.7984
No log	3.0	6	7.0972	0.0	7.0972	2.6641
No log	4.0	8	6.6523	0.0	6.6523	2.5792
No log	5.0	10	6.1841	-0.0022	6.1841	2.4868
No log	6.0	12	5.7213	0.0112	5.7213	2.3919
No log	7.0	14	5.1760	0.0115	5.1760	2.2751
No log	8.0	16	4.6423	0.0039	4.6423	2.1546
No log	9.0	18	3.9542	0.0	3.9542	1.9885
No log	10.0	20	3.5823	0.0	3.5823	1.8927
No log	11.0	22	3.3786	0.0	3.3786	1.8381
No log	12.0	24	2.9465	0.0	2.9465	1.7165
No log	13.0	26	2.6166	-0.0004	2.6166	1.6176
No log	14.0	28	2.3805	0.1171	2.3805	1.5429
No log	15.0	30	1.9250	0.0316	1.9250	1.3874
No log	16.0	32	1.6154	0.0212	1.6154	1.2710
No log	17.0	34	1.4548	0.0212	1.4548	1.2062
No log	18.0	36	1.3069	0.0212	1.3069	1.1432
No log	19.0	38	1.1147	0.0212	1.1147	1.0558
No log	20.0	40	1.0169	0.0212	1.0169	1.0084
No log	21.0	42	1.0919	0.0316	1.0919	1.0450
No log	22.0	44	0.9068	0.0388	0.9068	0.9523
No log	23.0	46	0.7723	0.3874	0.7723	0.8788
No log	24.0	48	0.7236	0.4279	0.7236	0.8506
No log	25.0	50	1.4661	0.1435	1.4661	1.2108
No log	26.0	52	2.1069	0.1541	2.1069	1.4515
No log	27.0	54	1.4753	0.1751	1.4753	1.2146
No log	28.0	56	0.6417	0.3751	0.6417	0.8011
No log	29.0	58	0.7113	0.2937	0.7113	0.8434
No log	30.0	60	0.6165	0.3934	0.6165	0.7852
No log	31.0	62	1.0245	0.1965	1.0245	1.0122
No log	32.0	64	0.9241	0.3006	0.9241	0.9613
No log	33.0	66	0.5779	0.4291	0.5779	0.7602
No log	34.0	68	0.5637	0.4241	0.5637	0.7508
No log	35.0	70	0.5771	0.4035	0.5771	0.7597
No log	36.0	72	0.5887	0.4280	0.5887	0.7672
No log	37.0	74	1.1549	0.2968	1.1549	1.0747
No log	38.0	76	1.3339	0.2688	1.3339	1.1550
No log	39.0	78	0.6700	0.4649	0.6700	0.8186
No log	40.0	80	0.5709	0.4360	0.5709	0.7556
No log	41.0	82	0.6113	0.4564	0.6113	0.7818
No log	42.0	84	1.3653	0.2451	1.3653	1.1685
No log	43.0	86	1.9823	0.1588	1.9823	1.4079
No log	44.0	88	2.1572	0.1423	2.1572	1.4687
No log	45.0	90	1.5984	0.2574	1.5984	1.2643
No log	46.0	92	0.6896	0.4640	0.6896	0.8304
No log	47.0	94	0.6307	0.4511	0.6307	0.7942
No log	48.0	96	0.6136	0.4449	0.6136	0.7834
No log	49.0	98	0.8050	0.4414	0.8050	0.8972
No log	50.0	100	1.3420	0.2626	1.3420	1.1585
No log	51.0	102	1.8216	0.1909	1.8216	1.3497
No log	52.0	104	1.8820	0.1734	1.8820	1.3719
No log	53.0	106	1.4486	0.1794	1.4486	1.2036
No log	54.0	108	0.7936	0.4019	0.7936	0.8908

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_sp020_lw020_fold0

Trial3BERT_AugV8_k1_task1_organization_sp020_lw020_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k1_task1_organization_sp020_lw020_fold0