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	10.5540	0.0	10.5540	3.2487
No log	2.0	6	9.4853	0.0	9.4851	3.0798
No log	3.0	9	7.1494	0.0	7.1494	2.6738
No log	4.0	12	5.1358	0.0117	5.1362	2.2663
No log	5.0	15	3.7536	0.0	3.7540	1.9375
No log	6.0	18	2.5114	0.0271	2.5119	1.5849
No log	7.0	21	1.6258	0.0213	1.6262	1.2752
No log	8.0	24	1.1397	0.0107	1.1402	1.0678
No log	9.0	27	0.9264	0.0107	0.9269	0.9627
No log	10.0	30	0.8319	0.1964	0.8323	0.9123
No log	11.0	33	0.6920	0.4515	0.6922	0.8320
No log	12.0	36	0.9000	0.3227	0.9002	0.9488
No log	13.0	39	0.6420	0.4841	0.6421	0.8013
No log	14.0	42	0.8230	0.4173	0.8231	0.9073
No log	15.0	45	0.5684	0.5456	0.5685	0.7540
No log	16.0	48	0.9269	0.3501	0.9271	0.9629
No log	17.0	51	0.5907	0.5365	0.5908	0.7686
No log	18.0	54	0.6240	0.5051	0.6240	0.7899
No log	19.0	57	0.5760	0.4615	0.5760	0.7589
No log	20.0	60	0.5764	0.5107	0.5761	0.7590
No log	21.0	63	0.5318	0.5406	0.5316	0.7291
No log	22.0	66	0.5160	0.5793	0.5156	0.7181
No log	23.0	69	0.6757	0.5328	0.6751	0.8216
No log	24.0	72	0.5646	0.5750	0.5641	0.7511
No log	25.0	75	0.5078	0.6036	0.5074	0.7123
No log	26.0	78	0.7643	0.4522	0.7639	0.8740
No log	27.0	81	0.4891	0.6246	0.4887	0.6991
No log	28.0	84	0.5575	0.5364	0.5573	0.7465
No log	29.0	87	1.0546	0.3509	1.0544	1.0268
No log	30.0	90	0.5101	0.6318	0.5097	0.7139
No log	31.0	93	0.6827	0.4994	0.6824	0.8261
No log	32.0	96	0.5560	0.5583	0.5556	0.7454
No log	33.0	99	0.5001	0.5780	0.4998	0.7070
No log	34.0	102	0.7435	0.4017	0.7433	0.8622
No log	35.0	105	0.5423	0.5699	0.5421	0.7363
No log	36.0	108	0.5652	0.5406	0.5649	0.7516
No log	37.0	111	0.5978	0.5471	0.5976	0.7731
No log	38.0	114	0.5282	0.5576	0.5280	0.7267
No log	39.0	117	0.5194	0.5695	0.5192	0.7205
No log	40.0	120	0.5509	0.5742	0.5506	0.7420
No log	41.0	123	0.5196	0.5655	0.5193	0.7206
No log	42.0	126	0.6409	0.4862	0.6407	0.8004
No log	43.0	129	0.5382	0.5826	0.5380	0.7335
No log	44.0	132	0.5458	0.5574	0.5457	0.7387
No log	45.0	135	0.6223	0.5003	0.6223	0.7889

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_lw030_fold2

Trial3BERT_AugV8_k3_task1_organization_sp010_lw030_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_lw030_fold2