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	3	10.7082	0.0	10.7059	3.2720
No log	2.0	6	9.3860	0.0	9.3838	3.0633
No log	3.0	9	6.5036	0.0	6.5020	2.5499
No log	4.0	12	4.8265	0.0038	4.8253	2.1967
No log	5.0	15	3.5999	0.0	3.5988	1.8971
No log	6.0	18	2.4729	0.0624	2.4720	1.5723
No log	7.0	21	1.6836	0.0202	1.6829	1.2973
No log	8.0	24	1.2713	0.0266	1.2707	1.1272
No log	9.0	27	1.0823	0.0102	1.0817	1.0401
No log	10.0	30	0.9203	0.2267	0.9199	0.9591
No log	11.0	33	0.8058	0.3691	0.8055	0.8975
No log	12.0	36	1.2339	0.1321	1.2334	1.1106
No log	13.0	39	1.0285	0.2092	1.0280	1.0139
No log	14.0	42	0.7485	0.4384	0.7483	0.8650
No log	15.0	45	0.9636	0.3240	0.9636	0.9816
No log	16.0	48	0.7782	0.4145	0.7782	0.8821
No log	17.0	51	0.6065	0.3937	0.6067	0.7789
No log	18.0	54	0.5456	0.4733	0.5458	0.7388
No log	19.0	57	0.7057	0.4954	0.7058	0.8401
No log	20.0	60	0.5104	0.5614	0.5105	0.7145
No log	21.0	63	0.5044	0.5630	0.5047	0.7104
No log	22.0	66	0.6025	0.5370	0.6026	0.7763
No log	23.0	69	0.6238	0.5317	0.6239	0.7899
No log	24.0	72	0.5699	0.5764	0.5700	0.7550
No log	25.0	75	0.5788	0.5475	0.5786	0.7607
No log	26.0	78	0.5365	0.5608	0.5365	0.7324
No log	27.0	81	0.5492	0.5799	0.5491	0.7410
No log	28.0	84	0.4979	0.6476	0.4978	0.7055
No log	29.0	87	0.6621	0.5273	0.6618	0.8135
No log	30.0	90	0.5078	0.6418	0.5077	0.7125
No log	31.0	93	0.8319	0.4243	0.8315	0.9118
No log	32.0	96	0.5169	0.6049	0.5169	0.7189
No log	33.0	99	0.5693	0.5865	0.5692	0.7545
No log	34.0	102	0.9379	0.4103	0.9377	0.9683
No log	35.0	105	0.5114	0.6123	0.5114	0.7151
No log	36.0	108	0.6570	0.5207	0.6568	0.8104
No log	37.0	111	0.5271	0.5733	0.5270	0.7260
No log	38.0	114	0.7241	0.5011	0.7237	0.8507
No log	39.0	117	0.5474	0.5844	0.5472	0.7397
No log	40.0	120	0.7724	0.4869	0.7720	0.8787
No log	41.0	123	0.5493	0.5942	0.5491	0.7410
No log	42.0	126	0.6088	0.5446	0.6086	0.7801
No log	43.0	129	0.5476	0.5933	0.5474	0.7399

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial2BERT_AugV8_k3_task1_organization_sp010_lw030_fold3

Trial2BERT_AugV8_k3_task1_organization_sp010_lw030_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial2BERT_AugV8_k3_task1_organization_sp010_lw030_fold3