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	7.3131	0.0	7.3131	2.7043
No log	2.0	6	4.7656	0.0176	4.7656	2.1830
No log	3.0	9	3.4657	0.0040	3.4657	1.8616
No log	4.0	12	2.4699	0.0407	2.4699	1.5716
No log	5.0	15	1.7912	0.0648	1.7912	1.3384
No log	6.0	18	1.3499	0.0316	1.3499	1.1618
No log	7.0	21	1.0286	0.0316	1.0286	1.0142
No log	8.0	24	0.8370	0.2732	0.8370	0.9149
No log	9.0	27	0.7401	0.4728	0.7401	0.8603
No log	10.0	30	1.1919	0.1384	1.1919	1.0917
No log	11.0	33	0.6562	0.4570	0.6562	0.8101
No log	12.0	36	0.6707	0.4264	0.6707	0.8190
No log	13.0	39	0.8134	0.3501	0.8134	0.9019
No log	14.0	42	0.5972	0.3999	0.5972	0.7728
No log	15.0	45	0.6840	0.4891	0.6840	0.8271
No log	16.0	48	0.6273	0.5047	0.6273	0.7920
No log	17.0	51	0.5797	0.4593	0.5797	0.7614
No log	18.0	54	0.6893	0.4766	0.6893	0.8302
No log	19.0	57	0.7081	0.5118	0.7081	0.8415
No log	20.0	60	0.6976	0.5056	0.6976	0.8352
No log	21.0	63	0.8533	0.4434	0.8533	0.9237
No log	22.0	66	0.6368	0.5214	0.6368	0.7980
No log	23.0	69	0.6751	0.5051	0.6751	0.8216
No log	24.0	72	0.6838	0.4896	0.6838	0.8269
No log	25.0	75	0.7382	0.5020	0.7382	0.8592
No log	26.0	78	0.6326	0.5590	0.6326	0.7954
No log	27.0	81	0.7275	0.5062	0.7275	0.8529
No log	28.0	84	1.1455	0.3715	1.1455	1.0703
No log	29.0	87	0.6816	0.5326	0.6816	0.8256
No log	30.0	90	0.7831	0.4846	0.7831	0.8850
No log	31.0	93	0.8687	0.4148	0.8687	0.9320
No log	32.0	96	0.6461	0.5439	0.6461	0.8038
No log	33.0	99	0.6857	0.5294	0.6857	0.8281
No log	34.0	102	0.7792	0.4987	0.7792	0.8827
No log	35.0	105	0.6542	0.5155	0.6542	0.8088
No log	36.0	108	0.7234	0.5000	0.7234	0.8505
No log	37.0	111	0.6383	0.5227	0.6383	0.7990
No log	38.0	114	0.6305	0.5567	0.6305	0.7940
No log	39.0	117	0.8551	0.4383	0.8551	0.9247
No log	40.0	120	0.6336	0.5288	0.6336	0.7960
No log	41.0	123	0.8226	0.4698	0.8226	0.9070

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_lw040_fold4

Trial3BERT_AugV8_k3_task1_organization_sp010_lw040_fold4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k3_task1_organization_sp010_lw040_fold4