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: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	2	10.8614	-0.0066	10.8614	3.2957
No log	2.0	4	8.5436	0.0018	8.5436	2.9230
No log	3.0	6	6.7143	0.0018	6.7143	2.5912
No log	4.0	8	5.2881	0.0293	5.2881	2.2996
No log	5.0	10	4.1516	0.0118	4.1516	2.0376
No log	6.0	12	3.2034	0.0040	3.2034	1.7898
No log	7.0	14	2.4845	0.0180	2.4845	1.5762
No log	8.0	16	1.9599	0.0470	1.9599	1.4000
No log	9.0	18	1.5919	0.0420	1.5919	1.2617
No log	10.0	20	1.2764	0.0316	1.2764	1.1298
No log	11.0	22	1.1661	0.0420	1.1661	1.0799
No log	12.0	24	1.0828	0.0734	1.0828	1.0406
No log	13.0	26	1.2984	0.1803	1.2984	1.1395
No log	14.0	28	1.0033	0.1391	1.0033	1.0017
No log	15.0	30	1.1193	0.2008	1.1193	1.0580
No log	16.0	32	0.9614	0.1786	0.9614	0.9805
No log	17.0	34	0.8664	0.2443	0.8664	0.9308
No log	18.0	36	0.9197	0.3839	0.9197	0.9590
No log	19.0	38	0.7325	0.4760	0.7325	0.8559
No log	20.0	40	0.6625	0.5453	0.6625	0.8139
No log	21.0	42	0.6523	0.5742	0.6523	0.8077
No log	22.0	44	0.5824	0.5640	0.5824	0.7632
No log	23.0	46	0.6207	0.5712	0.6207	0.7878
No log	24.0	48	0.5544	0.5689	0.5544	0.7446
No log	25.0	50	0.5473	0.5385	0.5473	0.7398
No log	26.0	52	0.6069	0.5820	0.6069	0.7790
No log	27.0	54	0.5387	0.5349	0.5387	0.7340
No log	28.0	56	0.5448	0.5826	0.5448	0.7381
No log	29.0	58	0.5861	0.5632	0.5861	0.7656
No log	30.0	60	0.5702	0.5419	0.5702	0.7551
No log	31.0	62	0.5878	0.5640	0.5878	0.7667
No log	32.0	64	0.5403	0.5718	0.5403	0.7351
No log	33.0	66	0.5552	0.5726	0.5552	0.7451
No log	34.0	68	0.5789	0.5878	0.5789	0.7609
No log	35.0	70	0.6537	0.5654	0.6537	0.8085
No log	36.0	72	0.6177	0.5895	0.6177	0.7859
No log	37.0	74	0.6356	0.5818	0.6356	0.7973
No log	38.0	76	0.5944	0.6018	0.5944	0.7710
No log	39.0	78	0.6080	0.5778	0.6080	0.7797
No log	40.0	80	0.7460	0.5480	0.7460	0.8637
No log	41.0	82	0.6184	0.5911	0.6184	0.7864
No log	42.0	84	0.6151	0.5813	0.6151	0.7843
No log	43.0	86	0.6879	0.5713	0.6879	0.8294
No log	44.0	88	0.6005	0.5879	0.6005	0.7749
No log	45.0	90	0.6075	0.5867	0.6075	0.7794
No log	46.0	92	0.5826	0.6079	0.5826	0.7633
No log	47.0	94	0.6385	0.6074	0.6385	0.7991
No log	48.0	96	0.7079	0.6036	0.7079	0.8414
No log	49.0	98	0.7031	0.5897	0.7031	0.8385
No log	50.0	100	0.9179	0.5112	0.9179	0.9581
No log	51.0	102	0.8938	0.5221	0.8938	0.9454
No log	52.0	104	0.6338	0.5849	0.6338	0.7961
No log	53.0	106	0.5976	0.5958	0.5976	0.7730
No log	54.0	108	0.6602	0.5921	0.6602	0.8125
No log	55.0	110	0.6972	0.5841	0.6972	0.8350
No log	56.0	112	0.6091	0.5824	0.6091	0.7805
No log	57.0	114	0.6317	0.5791	0.6317	0.7948
No log	58.0	116	0.8184	0.5580	0.8184	0.9047
No log	59.0	118	0.9335	0.5211	0.9335	0.9662
No log	60.0	120	0.7829	0.5780	0.7829	0.8848
No log	61.0	122	0.7565	0.5862	0.7565	0.8698
No log	62.0	124	0.8377	0.5550	0.8377	0.9152
No log	63.0	126	0.7537	0.6010	0.7537	0.8681
No log	64.0	128	0.6650	0.5888	0.6650	0.8154
No log	65.0	130	0.7145	0.5854	0.7145	0.8453
No log	66.0	132	0.9235	0.5352	0.9235	0.9610
No log	67.0	134	0.9520	0.5393	0.9520	0.9757
No log	68.0	136	0.8514	0.5702	0.8514	0.9227
No log	69.0	138	0.9087	0.5522	0.9087	0.9533
No log	70.0	140	1.0069	0.5188	1.0069	1.0034
No log	71.0	142	0.8593	0.5684	0.8593	0.9270
No log	72.0	144	0.7543	0.6016	0.7543	0.8685
No log	73.0	146	0.7817	0.5976	0.7817	0.8842
No log	74.0	148	0.8427	0.5607	0.8427	0.9180
No log	75.0	150	0.7860	0.5742	0.7860	0.8866
No log	76.0	152	0.7216	0.5902	0.7216	0.8495

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Version22NewTestASAP_FineTuningBERT_AugV22_k3_task1_organization_k3_k3_fold4

Version22NewTestASAP_FineTuningBERT_AugV22_k3_task1_organization_k3_k3_fold4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Version22NewTestASAP_FineTuningBERT_AugV22_k3_task1_organization_k3_k3_fold4