Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.5	2	11.6448	0.0008	11.6448	3.4124
No log	1.0	4	10.5156	0.0037	10.5156	3.2428
No log	1.5	6	9.4768	0.0018	9.4768	3.0784
No log	2.0	8	8.1556	0.0	8.1556	2.8558
7.7471	2.5	10	6.7230	0.0	6.7230	2.5929
7.7471	3.0	12	5.4524	0.0252	5.4524	2.3350
7.7471	3.5	14	4.4124	0.0079	4.4124	2.1006
7.7471	4.0	16	3.4767	0.0040	3.4767	1.8646
7.7471	4.5	18	2.7091	0.0040	2.7091	1.6459
3.2689	5.0	20	2.0254	0.0617	2.0254	1.4232
3.2689	5.5	22	1.7361	0.0213	1.7361	1.3176
3.2689	6.0	24	1.2498	0.0213	1.2498	1.1180
3.2689	6.5	26	1.1910	0.0213	1.1910	1.0913
3.2689	7.0	28	1.4577	0.0213	1.4577	1.2073
2.0187	7.5	30	1.1312	0.0213	1.1312	1.0636
2.0187	8.0	32	1.1147	0.0213	1.1147	1.0558
2.0187	8.5	34	1.5339	0.0213	1.5339	1.2385
2.0187	9.0	36	1.8249	0.0331	1.8249	1.3509
2.0187	9.5	38	1.4849	0.0342	1.4849	1.2186
1.8311	10.0	40	1.3103	0.0893	1.3103	1.1447
1.8311	10.5	42	1.2188	0.0555	1.2188	1.1040
1.8311	11.0	44	1.8813	0.0403	1.8813	1.3716
1.8311	11.5	46	2.3529	0.0125	2.3529	1.5339
1.8311	12.0	48	1.7520	0.0469	1.7520	1.3236
1.9159	12.5	50	0.9420	0.0570	0.9420	0.9706
1.9159	13.0	52	0.8319	0.3050	0.8319	0.9121
1.9159	13.5	54	1.0472	0.0993	1.0472	1.0233
1.9159	14.0	56	1.5287	0.0480	1.5287	1.2364
1.9159	14.5	58	0.7653	0.3631	0.7653	0.8748
1.664	15.0	60	0.6846	0.4145	0.6846	0.8274
1.664	15.5	62	0.7294	0.4180	0.7294	0.8540
1.664	16.0	64	0.7125	0.4423	0.7125	0.8441
1.664	16.5	66	0.7072	0.3963	0.7072	0.8409
1.664	17.0	68	0.6729	0.3725	0.6729	0.8203
0.8971	17.5	70	0.7190	0.3621	0.7190	0.8479
0.8971	18.0	72	0.7817	0.3864	0.7817	0.8842
0.8971	18.5	74	0.6223	0.4379	0.6223	0.7889
0.8971	19.0	76	0.6091	0.4917	0.6091	0.7805
0.8971	19.5	78	0.7561	0.4467	0.7561	0.8695
0.5225	20.0	80	0.5824	0.5339	0.5824	0.7632
0.5225	20.5	82	0.5712	0.5309	0.5712	0.7558
0.5225	21.0	84	0.7553	0.4346	0.7553	0.8691
0.5225	21.5	86	0.5639	0.5871	0.5639	0.7509
0.5225	22.0	88	0.5828	0.5982	0.5828	0.7634
0.3208	22.5	90	0.7013	0.5444	0.7013	0.8374
0.3208	23.0	92	0.5811	0.6050	0.5811	0.7623
0.3208	23.5	94	0.5698	0.5955	0.5698	0.7548
0.3208	24.0	96	0.6931	0.5057	0.6931	0.8325
0.3208	24.5	98	0.5584	0.5753	0.5584	0.7473
0.2886	25.0	100	0.5788	0.5918	0.5788	0.7608
0.2886	25.5	102	0.7241	0.5211	0.7241	0.8509
0.2886	26.0	104	0.6085	0.5988	0.6085	0.7801
0.2886	26.5	106	0.5926	0.5986	0.5926	0.7698
0.2886	27.0	108	0.7530	0.5219	0.7530	0.8678
0.1846	27.5	110	0.5931	0.6118	0.5931	0.7701
0.1846	28.0	112	0.5985	0.5957	0.5985	0.7737
0.1846	28.5	114	0.6156	0.6113	0.6156	0.7846
0.1846	29.0	116	0.6100	0.6036	0.6100	0.7810
0.1846	29.5	118	0.6368	0.5573	0.6368	0.7980
0.1459	30.0	120	0.6696	0.5660	0.6696	0.8183
0.1459	30.5	122	0.6160	0.5990	0.6160	0.7849
0.1459	31.0	124	0.5880	0.5955	0.5880	0.7668
0.1459	31.5	126	0.5996	0.6176	0.5996	0.7743
0.1459	32.0	128	0.6051	0.5882	0.6051	0.7779
0.1333	32.5	130	0.6106	0.5915	0.6106	0.7814
0.1333	33.0	132	0.7067	0.5747	0.7067	0.8406
0.1333	33.5	134	0.7196	0.5359	0.7196	0.8483
0.1333	34.0	136	0.7331	0.5267	0.7331	0.8562
0.1333	34.5	138	0.7209	0.5336	0.7209	0.8491
0.142	35.0	140	0.6267	0.5750	0.6267	0.7916
0.142	35.5	142	0.6421	0.5779	0.6421	0.8013
0.142	36.0	144	0.6692	0.5837	0.6692	0.8180
0.142	36.5	146	0.6155	0.5932	0.6155	0.7845
0.142	37.0	148	0.5921	0.6071	0.5921	0.7695
0.1018	37.5	150	0.6702	0.5905	0.6702	0.8187
0.1018	38.0	152	0.6697	0.5683	0.6697	0.8183
0.1018	38.5	154	0.6722	0.5660	0.6722	0.8199
0.1018	39.0	156	0.6318	0.5675	0.6318	0.7948
0.1018	39.5	158	0.6242	0.5773	0.6242	0.7901
0.0923	40.0	160	0.6331	0.5766	0.6331	0.7957
0.0923	40.5	162	0.6401	0.5466	0.6401	0.8001
0.0923	41.0	164	0.6267	0.5869	0.6267	0.7917
0.0923	41.5	166	0.6583	0.5782	0.6583	0.8114
0.0923	42.0	168	0.6332	0.5987	0.6332	0.7958
0.0806	42.5	170	0.5774	0.5792	0.5774	0.7599
0.0806	43.0	172	0.6024	0.5945	0.6024	0.7761
0.0806	43.5	174	0.7081	0.5969	0.7081	0.8415
0.0806	44.0	176	0.6375	0.5781	0.6375	0.7984
0.0806	44.5	178	0.6147	0.5736	0.6147	0.7841
0.0767	45.0	180	0.6028	0.5934	0.6028	0.7764
0.0767	45.5	182	0.6258	0.5787	0.6258	0.7911
0.0767	46.0	184	0.6772	0.5867	0.6772	0.8229
0.0767	46.5	186	0.6220	0.6020	0.6220	0.7887
0.0767	47.0	188	0.5802	0.5944	0.5802	0.7617
0.0598	47.5	190	0.5823	0.6306	0.5823	0.7631
0.0598	48.0	192	0.6125	0.6028	0.6125	0.7826
0.0598	48.5	194	0.6487	0.5972	0.6487	0.8054
0.0598	49.0	196	0.6808	0.6083	0.6808	0.8251
0.0598	49.5	198	0.6079	0.6110	0.6079	0.7797
0.0545	50.0	200	0.5941	0.6228	0.5941	0.7708
0.0545	50.5	202	0.6273	0.6124	0.6273	0.7920
0.0545	51.0	204	0.7058	0.5901	0.7058	0.8401
0.0545	51.5	206	0.6867	0.5852	0.6867	0.8287
0.0545	52.0	208	0.6485	0.5656	0.6485	0.8053
0.0806	52.5	210	0.6224	0.5814	0.6224	0.7889
0.0806	53.0	212	0.6635	0.6211	0.6635	0.8145
0.0806	53.5	214	0.6257	0.6045	0.6257	0.7910
0.0806	54.0	216	0.6463	0.5760	0.6463	0.8039
0.0806	54.5	218	0.7112	0.5378	0.7112	0.8433
0.1314	55.0	220	0.6299	0.5613	0.6299	0.7936
0.1314	55.5	222	0.6723	0.6091	0.6723	0.8199
0.1314	56.0	224	0.6866	0.6057	0.6866	0.8286
0.1314	56.5	226	0.6357	0.5916	0.6357	0.7973
0.1314	57.0	228	0.6468	0.6161	0.6468	0.8043
0.0599	57.5	230	0.6205	0.6051	0.6205	0.7877
0.0599	58.0	232	0.5875	0.6046	0.5875	0.7665
0.0599	58.5	234	0.6234	0.6103	0.6234	0.7896
0.0599	59.0	236	0.6243	0.6094	0.6243	0.7901
0.0599	59.5	238	0.6159	0.6059	0.6159	0.7848
0.0591	60.0	240	0.6186	0.6184	0.6186	0.7865
0.0591	60.5	242	0.6098	0.6233	0.6098	0.7809
0.0591	61.0	244	0.6362	0.5872	0.6362	0.7976
0.0591	61.5	246	0.7181	0.5778	0.7181	0.8474
0.0591	62.0	248	0.7092	0.5703	0.7092	0.8421
0.05	62.5	250	0.6832	0.5760	0.6832	0.8266
0.05	63.0	252	0.7444	0.5759	0.7444	0.8628
0.05	63.5	254	0.7312	0.5765	0.7312	0.8551
0.05	64.0	256	0.6515	0.5743	0.6515	0.8071
0.05	64.5	258	0.6432	0.5702	0.6432	0.8020
0.0553	65.0	260	0.6721	0.5923	0.6721	0.8198
0.0553	65.5	262	0.6695	0.5768	0.6695	0.8182
0.0553	66.0	264	0.7006	0.5765	0.7006	0.8370
0.0553	66.5	266	0.6521	0.5803	0.6521	0.8075
0.0553	67.0	268	0.6036	0.5722	0.6036	0.7769
0.0443	67.5	270	0.5955	0.5949	0.5955	0.7717
0.0443	68.0	272	0.6152	0.5969	0.6152	0.7843
0.0443	68.5	274	0.6152	0.6147	0.6152	0.7844
0.0443	69.0	276	0.6111	0.6211	0.6111	0.7817
0.0443	69.5	278	0.6231	0.6313	0.6231	0.7893
0.0469	70.0	280	0.6310	0.6295	0.6310	0.7944
0.0469	70.5	282	0.6087	0.6206	0.6087	0.7802
0.0469	71.0	284	0.6232	0.5842	0.6232	0.7895
0.0469	71.5	286	0.6169	0.5985	0.6169	0.7854
0.0469	72.0	288	0.6282	0.6072	0.6282	0.7926
0.0666	72.5	290	0.6622	0.6157	0.6622	0.8138
0.0666	73.0	292	0.6505	0.5947	0.6505	0.8066
0.0666	73.5	294	0.6361	0.5936	0.6361	0.7976
0.0666	74.0	296	0.6390	0.5848	0.6390	0.7994
0.0666	74.5	298	0.6490	0.5936	0.6490	0.8056
0.0463	75.0	300	0.6687	0.6192	0.6687	0.8177
0.0463	75.5	302	0.6557	0.6031	0.6557	0.8097
0.0463	76.0	304	0.6216	0.6190	0.6216	0.7884
0.0463	76.5	306	0.6125	0.6117	0.6125	0.7826
0.0463	77.0	308	0.6363	0.6322	0.6363	0.7977
0.0374	77.5	310	0.6631	0.6432	0.6631	0.8143
0.0374	78.0	312	0.6560	0.6169	0.6560	0.8099
0.0374	78.5	314	0.6444	0.6041	0.6444	0.8027
0.0374	79.0	316	0.6322	0.6028	0.6322	0.7951
0.0374	79.5	318	0.6261	0.6243	0.6261	0.7913
0.0403	80.0	320	0.6141	0.6194	0.6141	0.7837
0.0403	80.5	322	0.6072	0.6174	0.6072	0.7792
0.0403	81.0	324	0.6145	0.6309	0.6145	0.7839
0.0403	81.5	326	0.6416	0.6081	0.6416	0.8010
0.0403	82.0	328	0.6792	0.6062	0.6792	0.8241
0.0369	82.5	330	0.7026	0.5953	0.7026	0.8382
0.0369	83.0	332	0.7241	0.6085	0.7241	0.8509
0.0369	83.5	334	0.6866	0.6172	0.6866	0.8286
0.0369	84.0	336	0.6409	0.6057	0.6409	0.8006
0.0369	84.5	338	0.6119	0.6057	0.6119	0.7822
0.0417	85.0	340	0.6049	0.6217	0.6049	0.7778
0.0417	85.5	342	0.6147	0.6423	0.6147	0.7840
0.0417	86.0	344	0.6304	0.6431	0.6304	0.7940
0.0417	86.5	346	0.6371	0.6187	0.6371	0.7982
0.0417	87.0	348	0.6457	0.6155	0.6457	0.8036
0.0429	87.5	350	0.6701	0.6214	0.6701	0.8186
0.0429	88.0	352	0.6940	0.6255	0.6940	0.8331
0.0429	88.5	354	0.6922	0.6255	0.6922	0.8320
0.0429	89.0	356	0.6681	0.6298	0.6681	0.8173
0.0429	89.5	358	0.6378	0.6130	0.6378	0.7986
0.037	90.0	360	0.6284	0.6012	0.6284	0.7927
0.037	90.5	362	0.6309	0.6097	0.6309	0.7943
0.037	91.0	364	0.6511	0.6264	0.6511	0.8069
0.037	91.5	366	0.6595	0.6289	0.6595	0.8121
0.037	92.0	368	0.6684	0.6397	0.6684	0.8175
0.038	92.5	370	0.6689	0.6397	0.6689	0.8179
0.038	93.0	372	0.6581	0.6265	0.6581	0.8113
0.038	93.5	374	0.6499	0.6110	0.6499	0.8062
0.038	94.0	376	0.6412	0.6177	0.6412	0.8007
0.038	94.5	378	0.6451	0.6345	0.6451	0.8032
0.0328	95.0	380	0.6461	0.6360	0.6461	0.8038
0.0328	95.5	382	0.6395	0.6373	0.6395	0.7997
0.0328	96.0	384	0.6316	0.6396	0.6316	0.7947
0.0328	96.5	386	0.6258	0.6345	0.6258	0.7911
0.0328	97.0	388	0.6216	0.6282	0.6216	0.7884
0.0346	97.5	390	0.6203	0.6193	0.6203	0.7876
0.0346	98.0	392	0.6225	0.6100	0.6225	0.7890
0.0346	98.5	394	0.6234	0.6074	0.6234	0.7895
0.0346	99.0	396	0.6232	0.6080	0.6232	0.7894
0.0346	99.5	398	0.6242	0.6087	0.6242	0.7901
0.0357	100.0	400	0.6251	0.6094	0.6251	0.7906

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1

genki10/ASAP_FineTuningBERT_AugV7_k4_task1_organization_fold4

ASAP_FineTuningBERT_AugV7_k4_task1_organization_fold4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
ASAP_FineTuningBERT_AugV7_k4_task1_organization_fold4