Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	2	11.9075	-0.0251	11.9063	3.4506
No log	2.0	4	9.5962	0.0	9.5954	3.0976
No log	3.0	6	7.7460	0.0	7.7455	2.7831
No log	4.0	8	6.3122	0.0014	6.3118	2.5123
7.0858	5.0	10	4.9425	0.0076	4.9423	2.2231
7.0858	6.0	12	3.8153	0.0038	3.8153	1.9533
7.0858	7.0	14	2.9806	0.0	2.9807	1.7265
7.0858	8.0	16	2.3289	0.1168	2.3292	1.5262
7.0858	9.0	18	1.8255	0.0365	1.8260	1.3513
2.6889	10.0	20	1.4803	0.0202	1.4809	1.2169
2.6889	11.0	22	1.2670	0.0202	1.2677	1.1259
2.6889	12.0	24	1.2497	0.0365	1.2504	1.1182
2.6889	13.0	26	1.2058	0.0365	1.2065	1.0984
2.6889	14.0	28	1.1213	0.0365	1.1219	1.0592
1.8385	15.0	30	1.1014	0.0585	1.1020	1.0498
1.8385	16.0	32	1.0532	0.0995	1.0537	1.0265
1.8385	17.0	34	1.0575	0.1523	1.0579	1.0286
1.8385	18.0	36	0.8268	0.3603	0.8273	0.9096
1.8385	19.0	38	0.9843	0.2731	0.9848	0.9924
1.4166	20.0	40	0.7713	0.4289	0.7718	0.8785
1.4166	21.0	42	0.7873	0.4006	0.7876	0.8875
1.4166	22.0	44	0.7317	0.4155	0.7320	0.8556
1.4166	23.0	46	0.6150	0.4886	0.6153	0.7844
1.4166	24.0	48	0.6312	0.4919	0.6315	0.7947
0.7804	25.0	50	1.0233	0.3687	1.0237	1.0118
0.7804	26.0	52	0.5880	0.4958	0.5882	0.7670
0.7804	27.0	54	0.5509	0.5277	0.5511	0.7423
0.7804	28.0	56	0.8353	0.4514	0.8356	0.9141
0.7804	29.0	58	0.7978	0.4632	0.7981	0.8934
0.3879	30.0	60	0.6177	0.5462	0.6178	0.7860
0.3879	31.0	62	0.8056	0.4679	0.8058	0.8977
0.3879	32.0	64	0.7465	0.4782	0.7467	0.8641
0.3879	33.0	66	0.6899	0.5147	0.6900	0.8307
0.3879	34.0	68	0.7891	0.4504	0.7893	0.8884
0.2049	35.0	70	0.8746	0.4086	0.8748	0.9353
0.2049	36.0	72	0.6082	0.5506	0.6081	0.7798
0.2049	37.0	74	0.6169	0.5703	0.6168	0.7853
0.2049	38.0	76	0.8312	0.4491	0.8313	0.9118
0.2049	39.0	78	0.9286	0.4382	0.9289	0.9638
0.227	40.0	80	0.6171	0.5208	0.6171	0.7855
0.227	41.0	82	0.6099	0.5508	0.6099	0.7809
0.227	42.0	84	0.6646	0.5195	0.6646	0.8152
0.227	43.0	86	0.6232	0.5628	0.6231	0.7894
0.227	44.0	88	0.6595	0.5286	0.6595	0.8121
0.1331	45.0	90	0.8064	0.4617	0.8065	0.8981
0.1331	46.0	92	0.6237	0.5585	0.6237	0.7897
0.1331	47.0	94	0.6222	0.5647	0.6221	0.7888
0.1331	48.0	96	0.7290	0.4781	0.7290	0.8538
0.1331	49.0	98	0.6822	0.5093	0.6821	0.8259
0.1129	50.0	100	0.6621	0.5205	0.6620	0.8136
0.1129	51.0	102	0.7688	0.4574	0.7688	0.8768
0.1129	52.0	104	0.7413	0.4707	0.7412	0.8609
0.1129	53.0	106	0.6937	0.4777	0.6935	0.8328
0.1129	54.0	108	0.7964	0.4510	0.7964	0.8924
0.0877	55.0	110	0.7225	0.4755	0.7225	0.8500
0.0877	56.0	112	0.6443	0.5065	0.6441	0.8026
0.0877	57.0	114	0.6598	0.5099	0.6598	0.8123
0.0877	58.0	116	0.7905	0.4567	0.7906	0.8892
0.0877	59.0	118	0.7028	0.4978	0.7028	0.8383
0.0866	60.0	120	0.6432	0.5260	0.6432	0.8020
0.0866	61.0	122	0.6873	0.5125	0.6873	0.8290
0.0866	62.0	124	0.6614	0.5195	0.6614	0.8133
0.0866	63.0	126	0.6549	0.5268	0.6549	0.8093
0.0866	64.0	128	0.6476	0.5265	0.6476	0.8048
0.0752	65.0	130	0.6641	0.5244	0.6641	0.8149
0.0752	66.0	132	0.6395	0.5209	0.6394	0.7996
0.0752	67.0	134	0.6565	0.5248	0.6565	0.8102
0.0752	68.0	136	0.6553	0.5433	0.6553	0.8095
0.0752	69.0	138	0.7038	0.4983	0.7038	0.8389
0.067	70.0	140	0.6902	0.5123	0.6902	0.8308
0.067	71.0	142	0.6586	0.5340	0.6586	0.8115
0.067	72.0	144	0.6804	0.5049	0.6804	0.8249
0.067	73.0	146	0.6957	0.5026	0.6957	0.8341
0.067	74.0	148	0.6623	0.5173	0.6624	0.8139
0.0613	75.0	150	0.6539	0.5079	0.6539	0.8086
0.0613	76.0	152	0.6821	0.4992	0.6821	0.8259
0.0613	77.0	154	0.6768	0.4922	0.6768	0.8227
0.0613	78.0	156	0.6577	0.4846	0.6577	0.8110
0.0613	79.0	158	0.6680	0.4734	0.6680	0.8173
0.0648	80.0	160	0.6985	0.4780	0.6986	0.8358
0.0648	81.0	162	0.6683	0.4900	0.6683	0.8175
0.0648	82.0	164	0.6558	0.4881	0.6558	0.8098
0.0648	83.0	166	0.6518	0.4887	0.6518	0.8073
0.0648	84.0	168	0.6774	0.4916	0.6774	0.8231
0.0612	85.0	170	0.7072	0.4717	0.7072	0.8410
0.0612	86.0	172	0.6864	0.4927	0.6864	0.8285
0.0612	87.0	174	0.6616	0.5040	0.6615	0.8134
0.0612	88.0	176	0.6563	0.5078	0.6563	0.8101
0.0612	89.0	178	0.6713	0.5006	0.6713	0.8193
0.0542	90.0	180	0.6894	0.4831	0.6894	0.8303
0.0542	91.0	182	0.6884	0.4835	0.6884	0.8297
0.0542	92.0	184	0.6762	0.5050	0.6762	0.8223
0.0542	93.0	186	0.6658	0.5008	0.6658	0.8160
0.0542	94.0	188	0.6579	0.5086	0.6578	0.8111
0.0511	95.0	190	0.6550	0.5174	0.6549	0.8093
0.0511	96.0	192	0.6564	0.5107	0.6563	0.8102
0.0511	97.0	194	0.6623	0.5078	0.6622	0.8138
0.0511	98.0	196	0.6670	0.5079	0.6670	0.8167
0.0511	99.0	198	0.6711	0.5066	0.6711	0.8192
0.0508	100.0	200	0.6731	0.5063	0.6731	0.8204

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1

genki10/ASAP_FineTuningBERT_AugV7_k2_task1_organization_fold3

ASAP_FineTuningBERT_AugV7_k2_task1_organization_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
ASAP_FineTuningBERT_AugV7_k2_task1_organization_fold3