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	11.0799	0.0159	11.0799	3.3287
No log	2.0	4	9.1382	0.0	9.1383	3.0230
No log	3.0	6	6.9971	0.0	6.9971	2.6452
No log	4.0	8	5.4868	0.0612	5.4874	2.3425
No log	5.0	10	4.2344	0.0127	4.2349	2.0579
No log	6.0	12	3.8776	0.0039	3.8780	1.9693
No log	7.0	14	2.9272	0.0	2.9276	1.7110
No log	8.0	16	2.1697	0.1539	2.1701	1.4731
No log	9.0	18	1.9141	0.0605	1.9143	1.3836
No log	10.0	20	1.5973	0.0353	1.5975	1.2639
No log	11.0	22	1.2469	0.0345	1.2473	1.1168
No log	12.0	24	1.0584	0.0345	1.0587	1.0289
No log	13.0	26	0.9726	0.0345	0.9729	0.9864
No log	14.0	28	1.0141	0.0665	1.0144	1.0072
No log	15.0	30	0.9662	0.1143	0.9665	0.9831
No log	16.0	32	1.0044	0.2179	1.0047	1.0023
No log	17.0	34	0.7289	0.4599	0.7291	0.8539
No log	18.0	36	0.6653	0.4827	0.6654	0.8157
No log	19.0	38	0.6683	0.4939	0.6684	0.8176
No log	20.0	40	0.7170	0.4845	0.7171	0.8468
No log	21.0	42	0.5498	0.5498	0.5498	0.7415
No log	22.0	44	0.5681	0.5391	0.5681	0.7537
No log	23.0	46	0.6180	0.5321	0.6180	0.7861
No log	24.0	48	0.5832	0.5397	0.5831	0.7636
No log	25.0	50	0.5998	0.5125	0.5996	0.7744
No log	26.0	52	0.6201	0.4956	0.6199	0.7874
No log	27.0	54	0.6489	0.5057	0.6487	0.8054
No log	28.0	56	0.6348	0.5069	0.6346	0.7966
No log	29.0	58	0.6231	0.5463	0.6229	0.7892
No log	30.0	60	0.6613	0.5272	0.6611	0.8131
No log	31.0	62	0.6699	0.5609	0.6696	0.8183
No log	32.0	64	0.9377	0.4815	0.9374	0.9682
No log	33.0	66	1.0628	0.4655	1.0624	1.0307
No log	34.0	68	0.7850	0.5490	0.7845	0.8857
No log	35.0	70	0.9349	0.5199	0.9342	0.9665
No log	36.0	72	0.7484	0.5239	0.7478	0.8648
No log	37.0	74	1.1956	0.3621	1.1952	1.0933
No log	38.0	76	1.1107	0.3678	1.1103	1.0537
No log	39.0	78	0.6752	0.5373	0.6746	0.8214
No log	40.0	80	0.7809	0.5013	0.7803	0.8833
No log	41.0	82	0.7623	0.4876	0.7618	0.8728
No log	42.0	84	0.8188	0.4847	0.8183	0.9046
No log	43.0	86	0.7516	0.5066	0.7509	0.8666
No log	44.0	88	0.7562	0.5136	0.7556	0.8693
No log	45.0	90	0.7857	0.5053	0.7851	0.8860
No log	46.0	92	0.6976	0.5438	0.6969	0.8348

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_lw060_fold2

Trial3BERT_AugV8_k1_task1_organization_sp020_lw060_fold2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k1_task1_organization_sp020_lw060_fold2