Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0328	2	5.5119	-0.1102	5.5119	2.3477
No log	0.0656	4	3.0463	0.1466	3.0463	1.7454
No log	0.0984	6	2.7457	-0.125	2.7457	1.6570
No log	0.1311	8	2.2671	-0.1455	2.2671	1.5057
No log	0.1639	10	2.2702	0.0464	2.2702	1.5067
No log	0.1967	12	1.7479	0.0	1.7479	1.3221
No log	0.2295	14	1.5147	0.0	1.5147	1.2307
No log	0.2623	16	1.5317	-0.0809	1.5317	1.2376
No log	0.2951	18	1.4961	0.0419	1.4961	1.2232
No log	0.3279	20	1.4974	0.0690	1.4974	1.2237
No log	0.3607	22	1.5184	-0.0782	1.5184	1.2322
No log	0.3934	24	1.6874	0.0	1.6874	1.2990
No log	0.4262	26	1.8997	0.0	1.8997	1.3783
No log	0.4590	28	2.0915	0.0	2.0915	1.4462
No log	0.4918	30	2.1246	0.0	2.1246	1.4576
No log	0.5246	32	1.9950	0.0	1.9950	1.4124
No log	0.5574	34	1.8172	0.0	1.8172	1.3480
No log	0.5902	36	1.7960	-0.0590	1.7960	1.3402
No log	0.6230	38	1.7521	-0.0345	1.7521	1.3237
No log	0.6557	40	1.5712	-0.0099	1.5712	1.2535
No log	0.6885	42	1.2874	0.3026	1.2874	1.1346
No log	0.7213	44	1.3052	0.2657	1.3052	1.1425
No log	0.7541	46	1.2849	0.2528	1.2849	1.1336
No log	0.7869	48	1.3023	0.2528	1.3023	1.1412
No log	0.8197	50	1.3150	0.3276	1.3150	1.1467
No log	0.8525	52	1.3045	0.3243	1.3045	1.1421
No log	0.8852	54	1.3390	0.2939	1.3390	1.1572
No log	0.9180	56	1.3403	0.2939	1.3403	1.1577
No log	0.9508	58	1.3077	0.3478	1.3077	1.1436
No log	0.9836	60	1.2852	0.4535	1.2852	1.1337
No log	1.0164	62	1.2510	0.4535	1.2510	1.1185
No log	1.0492	64	1.2038	0.4535	1.2038	1.0972
No log	1.0820	66	1.1339	0.4535	1.1339	1.0649
No log	1.1148	68	1.0598	0.4535	1.0598	1.0295
No log	1.1475	70	1.0987	0.3747	1.0987	1.0482
No log	1.1803	72	1.1067	0.2957	1.1067	1.0520
No log	1.2131	74	1.0816	0.4043	1.0816	1.0400
No log	1.2459	76	1.0662	0.4592	1.0662	1.0326
No log	1.2787	78	1.1166	0.4567	1.1166	1.0567
No log	1.3115	80	1.1143	0.4567	1.1143	1.0556
No log	1.3443	82	1.0838	0.4567	1.0838	1.0411
No log	1.3770	84	1.0395	0.3747	1.0395	1.0196
No log	1.4098	86	1.0763	0.3747	1.0763	1.0374
No log	1.4426	88	1.2228	0.2278	1.2228	1.1058
No log	1.4754	90	1.4786	0.2962	1.4786	1.2160
No log	1.5082	92	1.5376	0.2962	1.5376	1.2400
No log	1.5410	94	1.4437	0.3197	1.4437	1.2015
No log	1.5738	96	1.5550	0.0396	1.5550	1.2470
No log	1.6066	98	1.9189	-0.1351	1.9189	1.3853
No log	1.6393	100	2.0310	-0.1324	2.0310	1.4251
No log	1.6721	102	2.0047	-0.1324	2.0047	1.4159
No log	1.7049	104	1.6869	-0.0862	1.6869	1.2988
No log	1.7377	106	1.5269	0.2416	1.5269	1.2357
No log	1.7705	108	1.4867	0.2416	1.4867	1.2193
No log	1.8033	110	1.3856	0.3119	1.3856	1.1771
No log	1.8361	112	1.2500	0.2977	1.2500	1.1180
No log	1.8689	114	1.1848	0.5015	1.1848	1.0885
No log	1.9016	116	1.1501	0.5010	1.1501	1.0724
No log	1.9344	118	1.1192	0.4569	1.1192	1.0579
No log	1.9672	120	1.0650	0.2957	1.0650	1.0320
No log	2.0	122	1.0684	0.2957	1.0684	1.0337
No log	2.0328	124	1.0338	0.2957	1.0338	1.0168
No log	2.0656	126	1.0307	0.4043	1.0307	1.0152
No log	2.0984	128	1.0374	0.5404	1.0374	1.0185
No log	2.1311	130	0.9785	0.5965	0.9785	0.9892
No log	2.1639	132	0.9742	0.5744	0.9742	0.9870
No log	2.1967	134	1.0901	0.5174	1.0901	1.0441
No log	2.2295	136	1.1364	0.5484	1.1364	1.0660
No log	2.2623	138	1.1224	0.5484	1.1224	1.0595
No log	2.2951	140	1.1029	0.6468	1.1029	1.0502
No log	2.3279	142	1.1521	0.6108	1.1521	1.0734
No log	2.3607	144	1.2943	0.5461	1.2943	1.1377
No log	2.3934	146	1.4049	0.4857	1.4049	1.1853
No log	2.4262	148	1.4373	0.5136	1.4373	1.1989
No log	2.4590	150	1.3876	0.5714	1.3876	1.1780
No log	2.4918	152	1.3288	0.5938	1.3288	1.1527
No log	2.5246	154	1.1898	0.6108	1.1898	1.0908
No log	2.5574	156	1.1621	0.6108	1.1621	1.0780
No log	2.5902	158	1.2207	0.5837	1.2207	1.1049
No log	2.6230	160	1.4042	0.5470	1.4042	1.1850
No log	2.6557	162	1.5656	0.3874	1.5656	1.2512
No log	2.6885	164	1.5840	0.3874	1.5840	1.2586
No log	2.7213	166	1.4822	0.4491	1.4822	1.2175
No log	2.7541	168	1.1871	0.5830	1.1871	1.0895
No log	2.7869	170	1.0332	0.5869	1.0332	1.0164
No log	2.8197	172	1.0188	0.5896	1.0188	1.0093
No log	2.8525	174	1.2001	0.5333	1.2001	1.0955
No log	2.8852	176	1.4136	0.4633	1.4136	1.1890
No log	2.9180	178	1.3470	0.4633	1.3470	1.1606
No log	2.9508	180	1.0665	0.5349	1.0665	1.0327
No log	2.9836	182	0.8176	0.7234	0.8176	0.9042
No log	3.0164	184	0.7325	0.6748	0.7325	0.8559
No log	3.0492	186	0.7214	0.6813	0.7214	0.8493
No log	3.0820	188	0.7668	0.7086	0.7668	0.8757
No log	3.1148	190	0.9656	0.6253	0.9656	0.9827
No log	3.1475	192	1.2682	0.5155	1.2682	1.1261
No log	3.1803	194	1.4166	0.4811	1.4166	1.1902
No log	3.2131	196	1.3339	0.5155	1.3339	1.1550
No log	3.2459	198	1.1149	0.5155	1.1149	1.0559
No log	3.2787	200	0.8673	0.6947	0.8673	0.9313
No log	3.3115	202	0.7758	0.6952	0.7758	0.8808
No log	3.3443	204	0.7918	0.6893	0.7918	0.8898
No log	3.3770	206	0.9049	0.6889	0.9049	0.9513
No log	3.4098	208	0.9832	0.6947	0.9832	0.9915
No log	3.4426	210	1.1511	0.5164	1.1511	1.0729
No log	3.4754	212	1.2693	0.5164	1.2693	1.1266
No log	3.5082	214	1.1946	0.5164	1.1946	1.0930
No log	3.5410	216	1.0841	0.5667	1.0841	1.0412
No log	3.5738	218	1.0371	0.6135	1.0371	1.0184
No log	3.6066	220	0.8813	0.6573	0.8813	0.9388
No log	3.6393	222	0.7820	0.6851	0.7820	0.8843
No log	3.6721	224	0.7633	0.6851	0.7633	0.8737
No log	3.7049	226	0.8257	0.7081	0.8257	0.9087
No log	3.7377	228	0.9608	0.5667	0.9608	0.9802
No log	3.7705	230	1.1022	0.5667	1.1022	1.0499
No log	3.8033	232	1.1278	0.5667	1.1278	1.0620
No log	3.8361	234	1.0844	0.5667	1.0844	1.0413
No log	3.8689	236	1.1010	0.5667	1.1010	1.0493
No log	3.9016	238	1.1871	0.5667	1.1871	1.0895
No log	3.9344	240	1.1838	0.5667	1.1838	1.0880
No log	3.9672	242	1.1776	0.5667	1.1776	1.0852
No log	4.0	244	1.1601	0.5667	1.1601	1.0771
No log	4.0328	246	1.1293	0.5667	1.1293	1.0627
No log	4.0656	248	1.1191	0.5667	1.1191	1.0579
No log	4.0984	250	1.1606	0.5667	1.1606	1.0773
No log	4.1311	252	1.1987	0.5667	1.1987	1.0949
No log	4.1639	254	1.1468	0.5667	1.1468	1.0709
No log	4.1967	256	1.0059	0.5693	1.0059	1.0029
No log	4.2295	258	0.9240	0.5843	0.9240	0.9613
No log	4.2623	260	0.8503	0.6738	0.8503	0.9221
No log	4.2951	262	0.8349	0.6441	0.8349	0.9137
No log	4.3279	264	0.8964	0.5693	0.8964	0.9468
No log	4.3607	266	0.9738	0.5667	0.9738	0.9868
No log	4.3934	268	1.0032	0.5667	1.0032	1.0016
No log	4.4262	270	0.9618	0.6038	0.9618	0.9807
No log	4.4590	272	0.8535	0.6078	0.8535	0.9239
No log	4.4918	274	0.7667	0.6678	0.7667	0.8756
No log	4.5246	276	0.7765	0.6678	0.7765	0.8812
No log	4.5574	278	0.8191	0.6616	0.8191	0.9051
No log	4.5902	280	0.9015	0.6038	0.9015	0.9495
No log	4.6230	282	0.9535	0.5667	0.9535	0.9765
No log	4.6557	284	0.9348	0.5667	0.9348	0.9668
No log	4.6885	286	0.9296	0.5667	0.9296	0.9642
No log	4.7213	288	0.9179	0.5667	0.9179	0.9580
No log	4.7541	290	0.8686	0.6078	0.8686	0.9320
No log	4.7869	292	0.8766	0.6616	0.8766	0.9363
No log	4.8197	294	0.9383	0.5667	0.9383	0.9687
No log	4.8525	296	1.0413	0.5667	1.0413	1.0205
No log	4.8852	298	1.0627	0.5667	1.0627	1.0309
No log	4.9180	300	1.0157	0.5667	1.0157	1.0078
No log	4.9508	302	0.9784	0.5971	0.9784	0.9891
No log	4.9836	304	0.9761	0.5971	0.9761	0.9880
No log	5.0164	306	0.9692	0.5944	0.9692	0.9845
No log	5.0492	308	0.9867	0.5944	0.9867	0.9933
No log	5.0820	310	1.0502	0.5944	1.0502	1.0248
No log	5.1148	312	1.1418	0.5667	1.1418	1.0685
No log	5.1475	314	1.2392	0.5660	1.2392	1.1132
No log	5.1803	316	1.3066	0.5660	1.3066	1.1431
No log	5.2131	318	1.2227	0.5341	1.2227	1.1057
No log	5.2459	320	1.0555	0.5341	1.0555	1.0274
No log	5.2787	322	0.9444	0.5341	0.9444	0.9718
No log	5.3115	324	0.9021	0.5744	0.9021	0.9498
No log	5.3443	326	0.8621	0.6907	0.8621	0.9285
No log	5.3770	328	0.8939	0.6303	0.8939	0.9454
No log	5.4098	330	1.0100	0.5341	1.0100	1.0050
No log	5.4426	332	1.0790	0.5341	1.0790	1.0388
No log	5.4754	334	1.1338	0.5341	1.1338	1.0648
No log	5.5082	336	1.1818	0.5164	1.1818	1.0871
No log	5.5410	338	1.1553	0.5341	1.1553	1.0749
No log	5.5738	340	1.0154	0.6170	1.0154	1.0077
No log	5.6066	342	0.8757	0.6345	0.8757	0.9358
No log	5.6393	344	0.8431	0.6345	0.8431	0.9182
No log	5.6721	346	0.8509	0.6345	0.8509	0.9225
No log	5.7049	348	0.9193	0.6726	0.9193	0.9588
No log	5.7377	350	1.0528	0.6562	1.0528	1.0261
No log	5.7705	352	1.1947	0.6091	1.1947	1.0930
No log	5.8033	354	1.2124	0.6091	1.2124	1.1011
No log	5.8361	356	1.1879	0.6091	1.1879	1.0899
No log	5.8689	358	1.0856	0.6091	1.0856	1.0419
No log	5.9016	360	0.9783	0.6044	0.9783	0.9891
No log	5.9344	362	0.9209	0.6044	0.9209	0.9596
No log	5.9672	364	0.9227	0.6044	0.9227	0.9606
No log	6.0	366	0.9586	0.5693	0.9586	0.9791
No log	6.0328	368	1.0035	0.5693	1.0035	1.0017
No log	6.0656	370	1.0393	0.5667	1.0393	1.0195
No log	6.0984	372	1.0101	0.5693	1.0101	1.0050
No log	6.1311	374	0.9803	0.5693	0.9803	0.9901
No log	6.1639	376	0.9912	0.5693	0.9912	0.9956
No log	6.1967	378	0.9758	0.5722	0.9758	0.9878
No log	6.2295	380	0.9383	0.5722	0.9383	0.9687
No log	6.2623	382	0.9262	0.5693	0.9262	0.9624
No log	6.2951	384	0.9367	0.5693	0.9367	0.9678
No log	6.3279	386	0.9976	0.5667	0.9976	0.9988
No log	6.3607	388	1.0298	0.6091	1.0298	1.0148
No log	6.3934	390	0.9782	0.6091	0.9782	0.9890
No log	6.4262	392	0.8880	0.5693	0.8880	0.9423
No log	6.4590	394	0.8586	0.6121	0.8586	0.9266
No log	6.4918	396	0.8978	0.5693	0.8978	0.9475
No log	6.5246	398	0.9420	0.5693	0.9420	0.9706
No log	6.5574	400	1.0248	0.6091	1.0248	1.0123
No log	6.5902	402	1.0697	0.6091	1.0697	1.0343
No log	6.6230	404	1.0823	0.6091	1.0823	1.0403
No log	6.6557	406	1.0943	0.6091	1.0943	1.0461
No log	6.6885	408	1.0483	0.6091	1.0483	1.0238
No log	6.7213	410	1.0045	0.6091	1.0045	1.0023
No log	6.7541	412	1.0010	0.6091	1.0010	1.0005
No log	6.7869	414	0.9994	0.6091	0.9994	0.9997
No log	6.8197	416	0.9602	0.6129	0.9602	0.9799
No log	6.8525	418	0.9074	0.6616	0.9074	0.9526
No log	6.8852	420	0.8944	0.6616	0.8944	0.9457
No log	6.9180	422	0.9154	0.6616	0.9154	0.9568
No log	6.9508	424	0.9503	0.6129	0.9503	0.9749
No log	6.9836	426	0.9705	0.6129	0.9705	0.9852
No log	7.0164	428	0.9860	0.6129	0.9860	0.9930
No log	7.0492	430	0.9747	0.6129	0.9747	0.9873
No log	7.0820	432	0.9324	0.6616	0.9324	0.9656
No log	7.1148	434	0.9324	0.6457	0.9324	0.9656
No log	7.1475	436	0.9332	0.6457	0.9332	0.9660
No log	7.1803	438	0.9757	0.6129	0.9757	0.9878
No log	7.2131	440	1.0031	0.6129	1.0031	1.0015
No log	7.2459	442	0.9922	0.6129	0.9922	0.9961
No log	7.2787	444	0.9710	0.5971	0.9710	0.9854
No log	7.3115	446	0.9708	0.5971	0.9708	0.9853
No log	7.3443	448	1.0010	0.5971	1.0010	1.0005
No log	7.3770	450	1.0304	0.5971	1.0304	1.0151
No log	7.4098	452	1.0222	0.5971	1.0222	1.0110
No log	7.4426	454	1.0064	0.6256	1.0064	1.0032
No log	7.4754	456	0.9861	0.6256	0.9861	0.9930
No log	7.5082	458	0.9831	0.6256	0.9831	0.9915
No log	7.5410	460	0.9764	0.6256	0.9764	0.9881
No log	7.5738	462	0.9932	0.5971	0.9932	0.9966
No log	7.6066	464	1.0181	0.6129	1.0181	1.0090
No log	7.6393	466	1.0775	0.6091	1.0775	1.0380
No log	7.6721	468	1.0925	0.6091	1.0925	1.0452
No log	7.7049	470	1.0668	0.6091	1.0668	1.0329
No log	7.7377	472	0.9968	0.6129	0.9968	0.9984
No log	7.7705	474	0.9299	0.6170	0.9299	0.9643
No log	7.8033	476	0.9024	0.6170	0.9024	0.9500
No log	7.8361	478	0.8969	0.6672	0.8969	0.9470
No log	7.8689	480	0.9166	0.6170	0.9166	0.9574
No log	7.9016	482	0.9822	0.6129	0.9822	0.9911
No log	7.9344	484	1.0348	0.6091	1.0348	1.0172
No log	7.9672	486	1.0557	0.6091	1.0557	1.0275
No log	8.0	488	1.0375	0.6091	1.0375	1.0186
No log	8.0328	490	1.0401	0.6091	1.0401	1.0198
No log	8.0656	492	1.0318	0.6091	1.0318	1.0158
No log	8.0984	494	1.0535	0.6091	1.0535	1.0264
No log	8.1311	496	1.0527	0.6091	1.0527	1.0260
No log	8.1639	498	1.0488	0.6091	1.0488	1.0241
0.5165	8.1967	500	1.0598	0.6091	1.0598	1.0295
0.5165	8.2295	502	1.0603	0.6091	1.0603	1.0297
0.5165	8.2623	504	1.0799	0.6091	1.0799	1.0392
0.5165	8.2951	506	1.0802	0.6091	1.0802	1.0393
0.5165	8.3279	508	1.0711	0.6091	1.0711	1.0349
0.5165	8.3607	510	1.0925	0.6091	1.0925	1.0452
0.5165	8.3934	512	1.1106	0.6091	1.1106	1.0538
0.5165	8.4262	514	1.1385	0.6091	1.1385	1.0670
0.5165	8.4590	516	1.1323	0.6091	1.1323	1.0641
0.5165	8.4918	518	1.0900	0.6091	1.0900	1.0441
0.5165	8.5246	520	1.0343	0.6129	1.0343	1.0170
0.5165	8.5574	522	0.9988	0.6457	0.9988	0.9994
0.5165	8.5902	524	0.9689	0.6726	0.9689	0.9843
0.5165	8.6230	526	0.9573	0.6726	0.9573	0.9784
0.5165	8.6557	528	0.9505	0.6457	0.9505	0.9749
0.5165	8.6885	530	0.9622	0.6457	0.9622	0.9809
0.5165	8.7213	532	0.9717	0.6457	0.9717	0.9857
0.5165	8.7541	534	0.9905	0.6616	0.9905	0.9952
0.5165	8.7869	536	1.0190	0.6091	1.0190	1.0095
0.5165	8.8197	538	1.0525	0.6091	1.0525	1.0259
0.5165	8.8525	540	1.0686	0.6091	1.0686	1.0337
0.5165	8.8852	542	1.0961	0.5800	1.0961	1.0469
0.5165	8.9180	544	1.0925	0.6091	1.0925	1.0452
0.5165	8.9508	546	1.0816	0.6091	1.0816	1.0400
0.5165	8.9836	548	1.0538	0.6091	1.0538	1.0265
0.5165	9.0164	550	1.0379	0.6091	1.0379	1.0188
0.5165	9.0492	552	1.0143	0.6091	1.0143	1.0071
0.5165	9.0820	554	0.9910	0.6562	0.9910	0.9955
0.5165	9.1148	556	0.9838	0.6616	0.9838	0.9919
0.5165	9.1475	558	0.9679	0.6616	0.9679	0.9838
0.5165	9.1803	560	0.9499	0.6616	0.9499	0.9746
0.5165	9.2131	562	0.9285	0.6457	0.9285	0.9636
0.5165	9.2459	564	0.9153	0.6457	0.9153	0.9567
0.5165	9.2787	566	0.9174	0.6457	0.9174	0.9578
0.5165	9.3115	568	0.9312	0.6616	0.9312	0.9650
0.5165	9.3443	570	0.9409	0.6616	0.9409	0.9700
0.5165	9.3770	572	0.9499	0.6616	0.9499	0.9746
0.5165	9.4098	574	0.9565	0.6616	0.9565	0.9780
0.5165	9.4426	576	0.9672	0.6616	0.9672	0.9835
0.5165	9.4754	578	0.9763	0.6616	0.9763	0.9881
0.5165	9.5082	580	0.9801	0.6616	0.9801	0.9900
0.5165	9.5410	582	0.9870	0.6129	0.9870	0.9935
0.5165	9.5738	584	0.9915	0.6129	0.9915	0.9957
0.5165	9.6066	586	0.9847	0.6616	0.9847	0.9923
0.5165	9.6393	588	0.9789	0.6616	0.9789	0.9894
0.5165	9.6721	590	0.9762	0.6616	0.9762	0.9880
0.5165	9.7049	592	0.9760	0.6616	0.9760	0.9879
0.5165	9.7377	594	0.9807	0.6129	0.9807	0.9903
0.5165	9.7705	596	0.9829	0.6129	0.9829	0.9914
0.5165	9.8033	598	0.9868	0.6129	0.9868	0.9934
0.5165	9.8361	600	0.9919	0.6129	0.9919	0.9960
0.5165	9.8689	602	0.9957	0.6091	0.9957	0.9979
0.5165	9.9016	604	0.9987	0.6091	0.9987	0.9993
0.5165	9.9344	606	1.0008	0.6091	1.0008	1.0004
0.5165	9.9672	608	1.0022	0.6091	1.0022	1.0011
0.5165	10.0	610	1.0026	0.6091	1.0026	1.0013

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/Arabic_FineTuningAraBERT_run3_AugV5_k5_task1_organization_fold0

Arabic_FineTuningAraBERT_run3_AugV5_k5_task1_organization_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
Arabic_FineTuningAraBERT_run3_AugV5_k5_task1_organization_fold0