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	8.3858	-0.0002	8.3859	2.8958
No log	2.0	6	5.6666	0.0072	5.6670	2.3805
No log	3.0	9	3.7992	0.0039	3.7997	1.9493
No log	4.0	12	2.8404	-0.0007	2.8410	1.6855
No log	5.0	15	3.2074	-0.0221	3.2077	1.7910
No log	6.0	18	1.5081	0.0107	1.5086	1.2282
No log	7.0	21	1.2390	0.0107	1.2395	1.1133
No log	8.0	24	0.9586	0.0107	0.9592	0.9794
No log	9.0	27	0.9238	0.0345	0.9241	0.9613
No log	10.0	30	0.7228	0.4504	0.7231	0.8504
No log	11.0	33	1.0312	0.0987	1.0316	1.0157
No log	12.0	36	0.8448	0.2657	0.8451	0.9193
No log	13.0	39	0.6045	0.5171	0.6047	0.7776
No log	14.0	42	0.7306	0.3832	0.7309	0.8549
No log	15.0	45	0.6009	0.5222	0.6010	0.7752
No log	16.0	48	0.9311	0.3002	0.9313	0.9651
No log	17.0	51	0.4977	0.5540	0.4976	0.7054
No log	18.0	54	0.9606	0.3745	0.9604	0.9800
No log	19.0	57	0.5399	0.5238	0.5396	0.7345
No log	20.0	60	0.5632	0.5129	0.5628	0.7502
No log	21.0	63	0.5451	0.5124	0.5448	0.7381
No log	22.0	66	0.5177	0.5416	0.5176	0.7194
No log	23.0	69	0.5677	0.5174	0.5674	0.7533
No log	24.0	72	0.9428	0.3717	0.9427	0.9709
No log	25.0	75	0.5618	0.5721	0.5615	0.7493
No log	26.0	78	0.8799	0.3842	0.8797	0.9379
No log	27.0	81	0.5817	0.5779	0.5811	0.7623
No log	28.0	84	0.7230	0.4563	0.7226	0.8500
No log	29.0	87	0.6259	0.5090	0.6255	0.7909
No log	30.0	90	0.5909	0.5367	0.5904	0.7683
No log	31.0	93	0.7149	0.4576	0.7145	0.8453
No log	32.0	96	0.5120	0.5737	0.5116	0.7153
No log	33.0	99	0.7004	0.4940	0.7002	0.8368
No log	34.0	102	0.7948	0.3890	0.7946	0.8914
No log	35.0	105	0.5584	0.5380	0.5579	0.7469
No log	36.0	108	0.7740	0.4481	0.7738	0.8797
No log	37.0	111	0.6420	0.5319	0.6417	0.8011
No log	38.0	114	0.5737	0.5492	0.5734	0.7572
No log	39.0	117	0.7777	0.4076	0.7775	0.8818
No log	40.0	120	0.6007	0.4882	0.6002	0.7747
No log	41.0	123	0.7332	0.3913	0.7330	0.8561
No log	42.0	126	0.6790	0.4551	0.6787	0.8238

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial3BERT_AugV8_k3_task1_organization_sp010_lw020_fold2

Trial3BERT_AugV8_k3_task1_organization_sp010_lw020_fold2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k3_task1_organization_sp010_lw020_fold2