Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.5	2	12.0543	0.0014	12.0533	3.4718
No log	1.0	4	10.9836	0.0	10.9827	3.3140
No log	1.5	6	10.1071	0.0	10.1063	3.1790
No log	2.0	8	8.7232	0.0	8.7224	2.9534
7.5922	2.5	10	7.2529	0.0	7.2524	2.6930
7.5922	3.0	12	6.0222	0.0639	6.0218	2.4539
7.5922	3.5	14	4.8602	0.0	4.8602	2.2046
7.5922	4.0	16	3.7874	0.0	3.7875	1.9461
7.5922	4.5	18	2.8998	0.0	2.9001	1.7030
3.4457	5.0	20	2.1449	0.0961	2.1454	1.4647
3.4457	5.5	22	1.6954	0.0202	1.6960	1.3023
3.4457	6.0	24	1.3622	0.0	1.3629	1.1674
3.4457	6.5	26	1.2681	0.0102	1.2689	1.1264
3.4457	7.0	28	1.7049	0.0266	1.7055	1.3060
1.8626	7.5	30	1.3933	0.0266	1.3940	1.1807
1.8626	8.0	32	1.0245	0.0102	1.0252	1.0125
1.8626	8.5	34	1.2983	0.0102	1.2990	1.1397
1.8626	9.0	36	1.3237	0.0488	1.3242	1.1507
1.8626	9.5	38	1.5380	0.1074	1.5384	1.2403
1.7895	10.0	40	1.2581	0.1095	1.2586	1.1219
1.7895	10.5	42	1.3002	0.1208	1.3006	1.1405
1.7895	11.0	44	1.0747	0.1579	1.0751	1.0369
1.7895	11.5	46	1.2159	0.2204	1.2162	1.1028
1.7895	12.0	48	1.2583	0.2637	1.2586	1.1219
1.497	12.5	50	0.8230	0.4650	0.8232	0.9073
1.497	13.0	52	0.7655	0.4770	0.7659	0.8751
1.497	13.5	54	1.0488	0.3464	1.0491	1.0243
1.497	14.0	56	0.7757	0.4926	0.7760	0.8809
1.497	14.5	58	0.6069	0.5589	0.6070	0.7791
0.9796	15.0	60	0.7224	0.5048	0.7225	0.8500
0.9796	15.5	62	0.6521	0.5327	0.6522	0.8076
0.9796	16.0	64	1.0857	0.3979	1.0859	1.0421
0.9796	16.5	66	0.8748	0.4861	0.8751	0.9354
0.9796	17.0	68	0.5603	0.5711	0.5603	0.7486
0.6223	17.5	70	0.5975	0.6226	0.5975	0.7730
0.6223	18.0	72	0.7263	0.5691	0.7264	0.8523
0.6223	18.5	74	0.6063	0.6209	0.6062	0.7786
0.6223	19.0	76	0.7120	0.5605	0.7121	0.8439
0.6223	19.5	78	1.2312	0.4120	1.2316	1.1098
0.3983	20.0	80	0.8186	0.5424	0.8187	0.9048
0.3983	20.5	82	0.6977	0.5999	0.6974	0.8351
0.3983	21.0	84	0.7103	0.6090	0.7103	0.8428
0.3983	21.5	86	0.9707	0.5130	0.9710	0.9854
0.3983	22.0	88	0.6731	0.5616	0.6732	0.8205
0.3152	22.5	90	0.6448	0.6165	0.6447	0.8029
0.3152	23.0	92	0.7337	0.5951	0.7339	0.8567
0.3152	23.5	94	0.7568	0.5852	0.7571	0.8701
0.3152	24.0	96	0.6700	0.5901	0.6700	0.8185
0.3152	24.5	98	0.7164	0.5985	0.7166	0.8465
0.2281	25.0	100	0.7033	0.5761	0.7036	0.8388
0.2281	25.5	102	0.6355	0.6064	0.6357	0.7973
0.2281	26.0	104	0.7773	0.5353	0.7776	0.8818
0.2281	26.5	106	0.7431	0.5555	0.7434	0.8622
0.2281	27.0	108	0.6451	0.6164	0.6450	0.8031
0.173	27.5	110	0.6607	0.6168	0.6607	0.8128
0.173	28.0	112	0.6385	0.6304	0.6385	0.7990
0.173	28.5	114	0.6461	0.6259	0.6460	0.8037
0.173	29.0	116	0.6914	0.6071	0.6914	0.8315
0.173	29.5	118	0.6812	0.6101	0.6812	0.8253
0.1198	30.0	120	0.6886	0.6111	0.6885	0.8298
0.1198	30.5	122	0.7331	0.6014	0.7332	0.8563
0.1198	31.0	124	0.6687	0.6246	0.6687	0.8178
0.1198	31.5	126	0.6733	0.6077	0.6733	0.8205
0.1198	32.0	128	0.6835	0.5907	0.6837	0.8268
0.1142	32.5	130	0.6310	0.6332	0.6310	0.7944
0.1142	33.0	132	0.6368	0.6129	0.6369	0.7980
0.1142	33.5	134	0.6868	0.5776	0.6869	0.8288
0.1142	34.0	136	0.6795	0.6012	0.6796	0.8244
0.1142	34.5	138	0.6572	0.6212	0.6572	0.8107
0.0881	35.0	140	0.6913	0.5448	0.6915	0.8316
0.0881	35.5	142	0.6482	0.5628	0.6483	0.8052
0.0881	36.0	144	0.6435	0.6206	0.6435	0.8022
0.0881	36.5	146	0.6767	0.5723	0.6769	0.8227
0.0881	37.0	148	0.6850	0.5876	0.6851	0.8277
0.1005	37.5	150	0.6616	0.6176	0.6616	0.8134
0.1005	38.0	152	0.6580	0.5902	0.6581	0.8113
0.1005	38.5	154	0.6532	0.5929	0.6534	0.8083
0.1005	39.0	156	0.7430	0.5526	0.7433	0.8621
0.1005	39.5	158	0.7253	0.5573	0.7256	0.8518
0.0759	40.0	160	0.6388	0.6015	0.6389	0.7993
0.0759	40.5	162	0.7023	0.5576	0.7025	0.8382
0.0759	41.0	164	0.6701	0.5785	0.6702	0.8187
0.0759	41.5	166	0.6703	0.6266	0.6702	0.8187
0.0759	42.0	168	0.6573	0.6146	0.6574	0.8108
0.0762	42.5	170	0.6532	0.6028	0.6532	0.8082
0.0762	43.0	172	0.6778	0.6213	0.6777	0.8232
0.0762	43.5	174	0.6188	0.6207	0.6189	0.7867
0.0762	44.0	176	0.6219	0.5956	0.6221	0.7887
0.0762	44.5	178	0.6176	0.6207	0.6177	0.7859
0.0675	45.0	180	0.6626	0.5721	0.6628	0.8141
0.0675	45.5	182	0.6607	0.5651	0.6610	0.8130
0.0675	46.0	184	0.6214	0.6321	0.6215	0.7884
0.0675	46.5	186	0.6079	0.6105	0.6080	0.7798
0.0675	47.0	188	0.6779	0.5631	0.6782	0.8235
0.0766	47.5	190	0.6090	0.6317	0.6091	0.7804
0.0766	48.0	192	0.6181	0.6374	0.6182	0.7863
0.0766	48.5	194	0.6403	0.5763	0.6405	0.8003
0.0766	49.0	196	0.6301	0.6297	0.6302	0.7938
0.0766	49.5	198	0.6342	0.6262	0.6342	0.7964
0.0648	50.0	200	0.6768	0.5558	0.6770	0.8228
0.0648	50.5	202	0.6823	0.5550	0.6825	0.8261
0.0648	51.0	204	0.6351	0.6347	0.6351	0.7969
0.0648	51.5	206	0.6460	0.6242	0.6461	0.8038
0.0648	52.0	208	0.7296	0.5642	0.7299	0.8543
0.0828	52.5	210	0.8529	0.5361	0.8533	0.9238
0.0828	53.0	212	0.7101	0.5722	0.7103	0.8428
0.0828	53.5	214	0.6879	0.6362	0.6879	0.8294
0.0828	54.0	216	0.6734	0.6220	0.6734	0.8206
0.0828	54.5	218	0.6801	0.5736	0.6802	0.8248
0.081	55.0	220	0.6448	0.5881	0.6450	0.8031
0.081	55.5	222	0.6268	0.6251	0.6269	0.7918
0.081	56.0	224	0.6731	0.5601	0.6733	0.8205
0.081	56.5	226	0.6691	0.5532	0.6694	0.8182
0.081	57.0	228	0.6252	0.5681	0.6254	0.7908
0.0567	57.5	230	0.6566	0.5618	0.6569	0.8105
0.0567	58.0	232	0.6454	0.5682	0.6456	0.8035
0.0567	58.5	234	0.6286	0.6018	0.6287	0.7929
0.0567	59.0	236	0.6561	0.5747	0.6562	0.8101
0.0567	59.5	238	0.6474	0.5988	0.6475	0.8047
0.066	60.0	240	0.6546	0.6110	0.6546	0.8091
0.066	60.5	242	0.6577	0.6372	0.6577	0.8110
0.066	61.0	244	0.6281	0.6218	0.6282	0.7926
0.066	61.5	246	0.6528	0.5696	0.6530	0.8081
0.066	62.0	248	0.6347	0.6020	0.6349	0.7968
0.0533	62.5	250	0.6461	0.6252	0.6461	0.8038
0.0533	63.0	252	0.6240	0.6083	0.6241	0.7900
0.0533	63.5	254	0.6673	0.5581	0.6675	0.8170
0.0533	64.0	256	0.6544	0.5583	0.6546	0.8091
0.0533	64.5	258	0.6089	0.6214	0.6090	0.7804
0.0571	65.0	260	0.6297	0.6255	0.6297	0.7935
0.0571	65.5	262	0.6399	0.6250	0.6400	0.8000
0.0571	66.0	264	0.6465	0.6263	0.6466	0.8041
0.0571	66.5	266	0.6340	0.6331	0.6340	0.7962
0.0571	67.0	268	0.6272	0.6283	0.6272	0.7920
0.0526	67.5	270	0.6154	0.6261	0.6155	0.7845
0.0526	68.0	272	0.6177	0.6086	0.6178	0.7860
0.0526	68.5	274	0.6144	0.6187	0.6144	0.7839
0.0526	69.0	276	0.6129	0.6157	0.6129	0.7829
0.0526	69.5	278	0.6050	0.6139	0.6051	0.7779
0.0415	70.0	280	0.5963	0.5840	0.5964	0.7723
0.0415	70.5	282	0.5994	0.5804	0.5996	0.7743
0.0415	71.0	284	0.5976	0.6173	0.5976	0.7731
0.0415	71.5	286	0.6073	0.6215	0.6074	0.7793
0.0415	72.0	288	0.6532	0.5651	0.6533	0.8083
0.05	72.5	290	0.6696	0.5573	0.6698	0.8184
0.05	73.0	292	0.6183	0.5999	0.6184	0.7864
0.05	73.5	294	0.6184	0.6274	0.6184	0.7864
0.05	74.0	296	0.6140	0.6334	0.6140	0.7836
0.05	74.5	298	0.6295	0.5916	0.6296	0.7935
0.0511	75.0	300	0.6274	0.5909	0.6275	0.7922
0.0511	75.5	302	0.6092	0.6424	0.6092	0.7805
0.0511	76.0	304	0.6058	0.6327	0.6058	0.7783
0.0511	76.5	306	0.6117	0.5981	0.6118	0.7822
0.0511	77.0	308	0.6204	0.5951	0.6205	0.7877
0.0494	77.5	310	0.6185	0.6282	0.6186	0.7865
0.0494	78.0	312	0.6157	0.6288	0.6158	0.7847
0.0494	78.5	314	0.6007	0.6248	0.6007	0.7751
0.0494	79.0	316	0.5962	0.6005	0.5963	0.7722
0.0494	79.5	318	0.5968	0.6030	0.5969	0.7726
0.0447	80.0	320	0.5986	0.6047	0.5987	0.7737
0.0447	80.5	322	0.6104	0.6131	0.6105	0.7814
0.0447	81.0	324	0.6282	0.5872	0.6283	0.7926
0.0447	81.5	326	0.6214	0.6059	0.6215	0.7884
0.0447	82.0	328	0.6132	0.6184	0.6133	0.7831
0.0379	82.5	330	0.6054	0.6226	0.6054	0.7781
0.0379	83.0	332	0.6065	0.6049	0.6066	0.7788
0.0379	83.5	334	0.6091	0.6157	0.6091	0.7805
0.0379	84.0	336	0.6115	0.6281	0.6115	0.7820
0.0379	84.5	338	0.6248	0.6412	0.6247	0.7904
0.0412	85.0	340	0.6284	0.6377	0.6285	0.7928
0.0412	85.5	342	0.6256	0.6283	0.6257	0.7910
0.0412	86.0	344	0.6308	0.5971	0.6309	0.7943
0.0412	86.5	346	0.6271	0.5746	0.6272	0.7919
0.0412	87.0	348	0.6038	0.5955	0.6039	0.7771
0.0404	87.5	350	0.5943	0.6288	0.5943	0.7709
0.0404	88.0	352	0.5950	0.6319	0.5950	0.7714
0.0404	88.5	354	0.5980	0.6264	0.5981	0.7733
0.0404	89.0	356	0.6016	0.6210	0.6017	0.7757
0.0404	89.5	358	0.6000	0.6199	0.6001	0.7747
0.0328	90.0	360	0.5961	0.6314	0.5961	0.7721
0.0328	90.5	362	0.5985	0.6157	0.5985	0.7737
0.0328	91.0	364	0.6022	0.6048	0.6023	0.7761
0.0328	91.5	366	0.5985	0.6244	0.5985	0.7736
0.0328	92.0	368	0.5979	0.6202	0.5979	0.7733
0.0367	92.5	370	0.5986	0.6209	0.5986	0.7737
0.0367	93.0	372	0.6011	0.5938	0.6012	0.7754
0.0367	93.5	374	0.5973	0.5969	0.5974	0.7729
0.0367	94.0	376	0.5922	0.6093	0.5922	0.7696
0.0367	94.5	378	0.5911	0.6048	0.5912	0.7689
0.0389	95.0	380	0.5922	0.6128	0.5923	0.7696
0.0389	95.5	382	0.5950	0.6044	0.5950	0.7714
0.0389	96.0	384	0.5983	0.6153	0.5983	0.7735
0.0389	96.5	386	0.5988	0.6153	0.5989	0.7739
0.0389	97.0	388	0.5984	0.6088	0.5984	0.7736
0.0328	97.5	390	0.5977	0.6147	0.5977	0.7731
0.0328	98.0	392	0.5974	0.6238	0.5974	0.7729
0.0328	98.5	394	0.5969	0.6244	0.5970	0.7726
0.0328	99.0	396	0.5965	0.6244	0.5965	0.7723
0.0328	99.5	398	0.5964	0.6147	0.5964	0.7723
0.0318	100.0	400	0.5965	0.6147	0.5965	0.7723

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1

genki10/ASAP_FineTuningBERT_AugV6_k4_task1_organization_fold3

ASAP_FineTuningBERT_AugV6_k4_task1_organization_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
ASAP_FineTuningBERT_AugV6_k4_task1_organization_fold3