Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0526	2	2.1846	0.0285	2.1846	1.4781
No log	0.1053	4	1.5981	0.1098	1.5981	1.2641
No log	0.1579	6	1.7718	0.0447	1.7718	1.3311
No log	0.2105	8	1.6018	0.2183	1.6018	1.2656
No log	0.2632	10	1.3734	0.3055	1.3734	1.1719
No log	0.3158	12	1.3403	0.2378	1.3403	1.1577
No log	0.3684	14	1.3947	0.1818	1.3947	1.1810
No log	0.4211	16	1.5195	0.2283	1.5195	1.2327
No log	0.4737	18	1.4978	0.1771	1.4978	1.2239
No log	0.5263	20	1.6076	0.3450	1.6076	1.2679
No log	0.5789	22	1.7912	0.2604	1.7912	1.3383
No log	0.6316	24	1.9053	0.2552	1.9053	1.3803
No log	0.6842	26	1.9175	0.2986	1.9175	1.3848
No log	0.7368	28	1.7441	0.3294	1.7441	1.3207
No log	0.7895	30	1.5758	0.3845	1.5758	1.2553
No log	0.8421	32	1.6094	0.3798	1.6094	1.2686
No log	0.8947	34	1.7682	0.3364	1.7682	1.3297
No log	0.9474	36	1.8928	0.3347	1.8928	1.3758
No log	1.0	38	1.8306	0.3497	1.8306	1.3530
No log	1.0526	40	1.7456	0.3481	1.7456	1.3212
No log	1.1053	42	1.5037	0.3738	1.5037	1.2263
No log	1.1579	44	1.2609	0.2646	1.2609	1.1229
No log	1.2105	46	1.1780	0.1897	1.1780	1.0854
No log	1.2632	48	1.1635	0.1897	1.1635	1.0786
No log	1.3158	50	1.1845	0.2509	1.1845	1.0883
No log	1.3684	52	1.2861	0.4132	1.2861	1.1341
No log	1.4211	54	1.5258	0.3899	1.5258	1.2352
No log	1.4737	56	1.8170	0.3262	1.8170	1.3479
No log	1.5263	58	1.9085	0.3004	1.9085	1.3815
No log	1.5789	60	1.7500	0.2904	1.7500	1.3229
No log	1.6316	62	1.6110	0.3234	1.6110	1.2693
No log	1.6842	64	1.7198	0.3925	1.7198	1.3114
No log	1.7368	66	2.1250	0.3165	2.1250	1.4577
No log	1.7895	68	2.2652	0.3142	2.2652	1.5050
No log	1.8421	70	2.1406	0.3310	2.1406	1.4631
No log	1.8947	72	1.9230	0.3592	1.9230	1.3867
No log	1.9474	74	1.8247	0.3803	1.8247	1.3508
No log	2.0	76	1.8609	0.3779	1.8609	1.3642
No log	2.0526	78	1.9624	0.3403	1.9624	1.4009
No log	2.1053	80	2.0528	0.2425	2.0528	1.4328
No log	2.1579	82	2.0479	0.2902	2.0479	1.4310
No log	2.2105	84	1.9412	0.3630	1.9412	1.3933
No log	2.2632	86	1.8076	0.3829	1.8076	1.3445
No log	2.3158	88	1.6601	0.3798	1.6601	1.2885
No log	2.3684	90	1.6809	0.3722	1.6809	1.2965
No log	2.4211	92	1.6677	0.3978	1.6677	1.2914
No log	2.4737	94	1.5659	0.3878	1.5659	1.2514
No log	2.5263	96	1.5768	0.4057	1.5768	1.2557
No log	2.5789	98	1.6403	0.4223	1.6403	1.2808
No log	2.6316	100	1.7300	0.4147	1.7300	1.3153
No log	2.6842	102	1.8830	0.4098	1.8830	1.3722
No log	2.7368	104	1.9432	0.4217	1.9432	1.3940
No log	2.7895	106	1.8120	0.4285	1.8120	1.3461
No log	2.8421	108	1.5812	0.4245	1.5812	1.2575
No log	2.8947	110	1.3654	0.4485	1.3654	1.1685
No log	2.9474	112	1.3210	0.4385	1.3210	1.1494
No log	3.0	114	1.3274	0.4467	1.3274	1.1521
No log	3.0526	116	1.3308	0.4593	1.3308	1.1536
No log	3.1053	118	1.4391	0.4704	1.4391	1.1996
No log	3.1579	120	1.4620	0.4902	1.4620	1.2091
No log	3.2105	122	1.4555	0.4786	1.4555	1.2064
No log	3.2632	124	1.4781	0.4742	1.4781	1.2158
No log	3.3158	126	1.3586	0.4836	1.3586	1.1656
No log	3.3684	128	1.2540	0.5097	1.2540	1.1198
No log	3.4211	130	1.3171	0.4984	1.3171	1.1476
No log	3.4737	132	1.4766	0.4648	1.4766	1.2152
No log	3.5263	134	1.5490	0.4638	1.5490	1.2446
No log	3.5789	136	1.4891	0.4827	1.4891	1.2203
No log	3.6316	138	1.3646	0.4785	1.3646	1.1682
No log	3.6842	140	1.2171	0.5091	1.2171	1.1032
No log	3.7368	142	1.0823	0.4912	1.0823	1.0403
No log	3.7895	144	1.0482	0.4912	1.0482	1.0238
No log	3.8421	146	1.1273	0.5143	1.1273	1.0617
No log	3.8947	148	1.3407	0.5149	1.3407	1.1579
No log	3.9474	150	1.6292	0.4717	1.6292	1.2764
No log	4.0	152	1.8591	0.4334	1.8591	1.3635
No log	4.0526	154	1.9097	0.4299	1.9097	1.3819
No log	4.1053	156	1.8472	0.4358	1.8472	1.3591
No log	4.1579	158	1.6486	0.4607	1.6486	1.2840
No log	4.2105	160	1.4729	0.4443	1.4729	1.2136
No log	4.2632	162	1.4075	0.4651	1.4075	1.1864
No log	4.3158	164	1.3440	0.4748	1.3440	1.1593
No log	4.3684	166	1.3167	0.4672	1.3167	1.1475
No log	4.4211	168	1.3960	0.4653	1.3960	1.1815
No log	4.4737	170	1.4622	0.4595	1.4622	1.2092
No log	4.5263	172	1.4607	0.4632	1.4607	1.2086
No log	4.5789	174	1.4014	0.4725	1.4014	1.1838
No log	4.6316	176	1.3542	0.4738	1.3542	1.1637
No log	4.6842	178	1.3226	0.4747	1.3226	1.1501
No log	4.7368	180	1.3110	0.4701	1.3110	1.1450
No log	4.7895	182	1.2761	0.4747	1.2761	1.1297
No log	4.8421	184	1.1892	0.4846	1.1892	1.0905
No log	4.8947	186	1.0829	0.5567	1.0829	1.0406
No log	4.9474	188	1.0311	0.5622	1.0311	1.0154
No log	5.0	190	1.0601	0.5649	1.0601	1.0296
No log	5.0526	192	1.1498	0.5264	1.1498	1.0723
No log	5.1053	194	1.2799	0.4630	1.2799	1.1313
No log	5.1579	196	1.3331	0.4503	1.3331	1.1546
No log	5.2105	198	1.3686	0.4459	1.3686	1.1699
No log	5.2632	200	1.3978	0.4422	1.3978	1.1823
No log	5.3158	202	1.4277	0.4636	1.4277	1.1949
No log	5.3684	204	1.4037	0.4778	1.4037	1.1848
No log	5.4211	206	1.3967	0.4698	1.3967	1.1818
No log	5.4737	208	1.3934	0.4778	1.3934	1.1804
No log	5.5263	210	1.3672	0.4819	1.3672	1.1693
No log	5.5789	212	1.4125	0.4619	1.4125	1.1885
No log	5.6316	214	1.4564	0.4338	1.4564	1.2068
No log	5.6842	216	1.4013	0.4261	1.4013	1.1838
No log	5.7368	218	1.3446	0.4488	1.3446	1.1596
No log	5.7895	220	1.3270	0.4692	1.3270	1.1520
No log	5.8421	222	1.3131	0.4738	1.3131	1.1459
No log	5.8947	224	1.3270	0.4491	1.3270	1.1520
No log	5.9474	226	1.3263	0.4491	1.3263	1.1517
No log	6.0	228	1.3169	0.4619	1.3169	1.1475
No log	6.0526	230	1.3377	0.4738	1.3377	1.1566
No log	6.1053	232	1.3564	0.4705	1.3564	1.1647
No log	6.1579	234	1.3409	0.4962	1.3409	1.1580
No log	6.2105	236	1.2972	0.5075	1.2972	1.1390
No log	6.2632	238	1.2217	0.5183	1.2217	1.1053
No log	6.3158	240	1.1903	0.4981	1.1903	1.0910
No log	6.3684	242	1.1581	0.4981	1.1581	1.0761
No log	6.4211	244	1.1607	0.4981	1.1607	1.0774
No log	6.4737	246	1.1824	0.5015	1.1824	1.0874
No log	6.5263	248	1.2412	0.4963	1.2412	1.1141
No log	6.5789	250	1.3391	0.5005	1.3391	1.1572
No log	6.6316	252	1.4070	0.5054	1.4070	1.1862
No log	6.6842	254	1.4612	0.4864	1.4612	1.2088
No log	6.7368	256	1.4521	0.4864	1.4521	1.2050
No log	6.7895	258	1.4136	0.4803	1.4136	1.1890
No log	6.8421	260	1.3871	0.4892	1.3871	1.1777
No log	6.8947	262	1.3190	0.4828	1.3190	1.1485
No log	6.9474	264	1.2663	0.4760	1.2663	1.1253
No log	7.0	266	1.2294	0.4736	1.2294	1.1088
No log	7.0526	268	1.1971	0.4830	1.1971	1.0941
No log	7.1053	270	1.1803	0.4921	1.1803	1.0864
No log	7.1579	272	1.2160	0.5028	1.2160	1.1027
No log	7.2105	274	1.2495	0.4841	1.2495	1.1178
No log	7.2632	276	1.2837	0.4877	1.2837	1.1330
No log	7.3158	278	1.2819	0.4951	1.2819	1.1322
No log	7.3684	280	1.2388	0.5035	1.2388	1.1130
No log	7.4211	282	1.1905	0.5102	1.1905	1.0911
No log	7.4737	284	1.1406	0.5131	1.1406	1.0680
No log	7.5263	286	1.1225	0.5262	1.1225	1.0595
No log	7.5789	288	1.1210	0.5345	1.1210	1.0588
No log	7.6316	290	1.1251	0.5250	1.1251	1.0607
No log	7.6842	292	1.1389	0.5141	1.1389	1.0672
No log	7.7368	294	1.1515	0.5218	1.1515	1.0731
No log	7.7895	296	1.1302	0.5250	1.1302	1.0631
No log	7.8421	298	1.1209	0.5381	1.1209	1.0587
No log	7.8947	300	1.1019	0.5390	1.1019	1.0497
No log	7.9474	302	1.0813	0.5504	1.0813	1.0398
No log	8.0	304	1.0861	0.5504	1.0861	1.0422
No log	8.0526	306	1.0970	0.5270	1.0970	1.0474
No log	8.1053	308	1.1183	0.5262	1.1183	1.0575
No log	8.1579	310	1.1309	0.5203	1.1309	1.0634
No log	8.2105	312	1.1422	0.5188	1.1422	1.0687
No log	8.2632	314	1.1279	0.5322	1.1279	1.0620
No log	8.3158	316	1.0938	0.5322	1.0938	1.0459
No log	8.3684	318	1.0734	0.5331	1.0734	1.0360
No log	8.4211	320	1.0697	0.5559	1.0697	1.0343
No log	8.4737	322	1.0922	0.5548	1.0922	1.0451
No log	8.5263	324	1.1193	0.5394	1.1193	1.0580
No log	8.5789	326	1.1560	0.5048	1.1560	1.0752
No log	8.6316	328	1.1583	0.5048	1.1583	1.0763
No log	8.6842	330	1.1412	0.5394	1.1412	1.0683
No log	8.7368	332	1.1348	0.5394	1.1348	1.0653
No log	8.7895	334	1.1344	0.5394	1.1344	1.0651
No log	8.8421	336	1.1280	0.5528	1.1280	1.0621
No log	8.8947	338	1.1172	0.5474	1.1172	1.0570
No log	8.9474	340	1.1061	0.5474	1.1061	1.0517
No log	9.0	342	1.0981	0.5474	1.0981	1.0479
No log	9.0526	344	1.1003	0.5474	1.1003	1.0490
No log	9.1053	346	1.0904	0.5474	1.0904	1.0442
No log	9.1579	348	1.0802	0.5474	1.0802	1.0393
No log	9.2105	350	1.0857	0.5474	1.0857	1.0419
No log	9.2632	352	1.0906	0.5342	1.0906	1.0443
No log	9.3158	354	1.0937	0.5342	1.0937	1.0458
No log	9.3684	356	1.1003	0.5342	1.1003	1.0490
No log	9.4211	358	1.1103	0.5250	1.1103	1.0537
No log	9.4737	360	1.1140	0.5250	1.1140	1.0555
No log	9.5263	362	1.1159	0.5250	1.1159	1.0564
No log	9.5789	364	1.1203	0.5250	1.1203	1.0584
No log	9.6316	366	1.1180	0.5250	1.1180	1.0574
No log	9.6842	368	1.1148	0.5250	1.1148	1.0558
No log	9.7368	370	1.1142	0.5250	1.1142	1.0555
No log	9.7895	372	1.1134	0.5250	1.1134	1.0552
No log	9.8421	374	1.1134	0.5250	1.1134	1.0552
No log	9.8947	376	1.1150	0.5250	1.1150	1.0559
No log	9.9474	378	1.1169	0.5250	1.1169	1.0568
No log	10.0	380	1.1176	0.5250	1.1176	1.0572

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits4_FineTuningAraBERT_run3_AugV5_k12_task5_organization

ArabicNewSplits4_FineTuningAraBERT_run3_AugV5_k12_task5_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits4_FineTuningAraBERT_run3_AugV5_k12_task5_organization