ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k16_task2_organization

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.3240
• Qwk: 0.0887
• Mse: 1.3240
• Rmse: 1.1507

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0435	2	4.5392	-0.0132	4.5392	2.1305
No log	0.0870	4	2.6144	0.0025	2.6144	1.6169
No log	0.1304	6	2.0477	-0.0634	2.0477	1.4310
No log	0.1739	8	2.4964	-0.0777	2.4964	1.5800
No log	0.2174	10	1.6546	0.0596	1.6546	1.2863
No log	0.2609	12	1.2478	0.1990	1.2478	1.1170
No log	0.3043	14	1.2637	-0.0010	1.2637	1.1241
No log	0.3478	16	1.3075	-0.0114	1.3075	1.1435
No log	0.3913	18	1.1879	0.2180	1.1879	1.0899
No log	0.4348	20	1.0978	0.3307	1.0978	1.0478
No log	0.4783	22	1.2352	0.1106	1.2352	1.1114
No log	0.5217	24	1.7188	0.1277	1.7188	1.3110
No log	0.5652	26	1.6947	0.1827	1.6947	1.3018
No log	0.6087	28	1.4720	0.1604	1.4720	1.2133
No log	0.6522	30	1.2747	0.1168	1.2747	1.1290
No log	0.6957	32	1.2740	0.1904	1.2740	1.1287
No log	0.7391	34	1.3932	0.1016	1.3932	1.1803
No log	0.7826	36	1.5722	0.0723	1.5722	1.2539
No log	0.8261	38	1.6145	0.0084	1.6145	1.2706
No log	0.8696	40	1.5704	0.0084	1.5704	1.2531
No log	0.9130	42	1.5551	0.0084	1.5551	1.2470
No log	0.9565	44	1.4364	0.0488	1.4364	1.1985
No log	1.0	46	1.2243	0.3135	1.2243	1.1065
No log	1.0435	48	1.1501	0.2678	1.1501	1.0724
No log	1.0870	50	1.2350	0.0918	1.2350	1.1113
No log	1.1304	52	1.2402	0.1080	1.2402	1.1136
No log	1.1739	54	1.2115	0.2188	1.2115	1.1007
No log	1.2174	56	1.2436	0.2188	1.2436	1.1152
No log	1.2609	58	1.2801	0.2188	1.2801	1.1314
No log	1.3043	60	1.3568	0.1246	1.3568	1.1648
No log	1.3478	62	1.3834	0.1085	1.3834	1.1762
No log	1.3913	64	1.3154	0.2123	1.3154	1.1469
No log	1.4348	66	1.2935	0.2310	1.2935	1.1373
No log	1.4783	68	1.3649	0.1251	1.3649	1.1683
No log	1.5217	70	1.5057	0.1499	1.5057	1.2271
No log	1.5652	72	1.5639	0.1499	1.5639	1.2505
No log	1.6087	74	1.3761	0.2695	1.3761	1.1731
No log	1.6522	76	1.2028	0.2831	1.2028	1.0967
No log	1.6957	78	1.1560	0.2318	1.1560	1.0752
No log	1.7391	80	1.2434	0.3478	1.2434	1.1151
No log	1.7826	82	1.2869	0.3227	1.2869	1.1344
No log	1.8261	84	1.4592	0.2378	1.4592	1.2080
No log	1.8696	86	1.2396	0.4078	1.2396	1.1134
No log	1.9130	88	1.1017	0.4841	1.1017	1.0496
No log	1.9565	90	1.1531	0.4716	1.1531	1.0738
No log	2.0	92	1.6415	0.1373	1.6415	1.2812
No log	2.0435	94	2.0876	0.0091	2.0876	1.4449
No log	2.0870	96	2.0196	0.0608	2.0196	1.4211
No log	2.1304	98	1.5143	0.1087	1.5143	1.2306
No log	2.1739	100	1.0257	0.3144	1.0257	1.0128
No log	2.2174	102	0.8991	0.4002	0.8991	0.9482
No log	2.2609	104	0.9778	0.3389	0.9778	0.9888
No log	2.3043	106	1.2040	0.1404	1.2040	1.0972
No log	2.3478	108	1.4502	0.2373	1.4502	1.2043
No log	2.3913	110	1.4162	0.2445	1.4162	1.1900
No log	2.4348	112	1.2399	0.2213	1.2399	1.1135
No log	2.4783	114	1.0548	0.2619	1.0548	1.0270
No log	2.5217	116	1.0567	0.3657	1.0567	1.0279
No log	2.5652	118	1.2290	0.4075	1.2290	1.1086
No log	2.6087	120	1.4256	0.4050	1.4256	1.1940
No log	2.6522	122	1.6952	0.1672	1.6952	1.3020
No log	2.6957	124	1.6455	0.1885	1.6455	1.2828
No log	2.7391	126	1.2541	0.4112	1.2541	1.1199
No log	2.7826	128	1.1299	0.4803	1.1299	1.0630
No log	2.8261	130	1.1623	0.4487	1.1623	1.0781
No log	2.8696	132	1.2953	0.3926	1.2953	1.1381
No log	2.9130	134	1.1062	0.3540	1.1062	1.0517
No log	2.9565	136	0.9813	0.2782	0.9813	0.9906
No log	3.0	138	0.9605	0.3122	0.9605	0.9801
No log	3.0435	140	0.9383	0.3122	0.9383	0.9686
No log	3.0870	142	0.9192	0.3463	0.9192	0.9588
No log	3.1304	144	0.9387	0.3069	0.9387	0.9689
No log	3.1739	146	0.9361	0.2997	0.9361	0.9675
No log	3.2174	148	0.9828	0.3492	0.9828	0.9914
No log	3.2609	150	1.1013	0.3528	1.1013	1.0494
No log	3.3043	152	1.2506	0.2870	1.2506	1.1183
No log	3.3478	154	1.3671	0.2544	1.3671	1.1692
No log	3.3913	156	1.6324	0.2632	1.6324	1.2777
No log	3.4348	158	1.6640	0.2574	1.6640	1.2900
No log	3.4783	160	1.6062	0.1704	1.6062	1.2673
No log	3.5217	162	1.4258	0.1698	1.4258	1.1941
No log	3.5652	164	1.1820	0.2015	1.1820	1.0872
No log	3.6087	166	1.1163	0.2432	1.1163	1.0566
No log	3.6522	168	1.1634	0.2313	1.1634	1.0786
No log	3.6957	170	1.4733	0.2512	1.4733	1.2138
No log	3.7391	172	1.7133	0.1149	1.7133	1.3089
No log	3.7826	174	1.7287	0.0841	1.7287	1.3148
No log	3.8261	176	1.6828	0.1961	1.6828	1.2972
No log	3.8696	178	1.5252	0.2789	1.5252	1.2350
No log	3.9130	180	1.2831	0.3136	1.2831	1.1327
No log	3.9565	182	1.2904	0.2634	1.2904	1.1359
No log	4.0	184	1.3169	0.2527	1.3169	1.1476
No log	4.0435	186	1.4300	0.3025	1.4300	1.1958
No log	4.0870	188	1.4173	0.2617	1.4173	1.1905
No log	4.1304	190	1.2387	0.2864	1.2387	1.1130
No log	4.1739	192	1.0969	0.2236	1.0969	1.0473
No log	4.2174	194	1.1665	0.2864	1.1665	1.0801
No log	4.2609	196	1.3768	0.2252	1.3768	1.1734
No log	4.3043	198	1.4031	0.1935	1.4031	1.1845
No log	4.3478	200	1.3006	0.1345	1.3006	1.1404
No log	4.3913	202	1.2641	0.2570	1.2641	1.1243
No log	4.4348	204	1.1540	0.1952	1.1540	1.0742
No log	4.4783	206	1.0314	0.2446	1.0314	1.0156
No log	4.5217	208	0.9837	0.2574	0.9838	0.9918
No log	4.5652	210	1.1298	0.3398	1.1298	1.0629
No log	4.6087	212	1.4698	0.3302	1.4698	1.2123
No log	4.6522	214	1.6554	0.2217	1.6554	1.2866
No log	4.6957	216	1.5817	0.1051	1.5817	1.2577
No log	4.7391	218	1.3478	0.1031	1.3478	1.1609
No log	4.7826	220	1.1472	0.1219	1.1472	1.0711
No log	4.8261	222	1.0065	0.2761	1.0065	1.0033
No log	4.8696	224	0.9602	0.3271	0.9602	0.9799
No log	4.9130	226	0.9673	0.2871	0.9673	0.9835
No log	4.9565	228	1.0335	0.3584	1.0335	1.0166
No log	5.0	230	1.3019	0.2701	1.3019	1.1410
No log	5.0435	232	1.5644	0.3371	1.5644	1.2508
No log	5.0870	234	1.5612	0.3572	1.5612	1.2495
No log	5.1304	236	1.2730	0.2903	1.2730	1.1283
No log	5.1739	238	1.0605	0.3394	1.0605	1.0298
No log	5.2174	240	1.0279	0.3572	1.0279	1.0139
No log	5.2609	242	1.0334	0.3572	1.0334	1.0165
No log	5.3043	244	1.0897	0.3182	1.0897	1.0439
No log	5.3478	246	1.1933	0.2664	1.1933	1.0924
No log	5.3913	248	1.3541	0.2632	1.3541	1.1637
No log	5.4348	250	1.3200	0.1886	1.3200	1.1489
No log	5.4783	252	1.1635	0.2131	1.1635	1.0787
No log	5.5217	254	1.0955	0.2927	1.0955	1.0467
No log	5.5652	256	1.0594	0.3217	1.0594	1.0293
No log	5.6087	258	1.1165	0.2743	1.1165	1.0566
No log	5.6522	260	1.3771	0.2009	1.3771	1.1735
No log	5.6957	262	1.5092	0.3173	1.5092	1.2285
No log	5.7391	264	1.4651	0.3157	1.4651	1.2104
No log	5.7826	266	1.3156	0.2359	1.3156	1.1470
No log	5.8261	268	1.1553	0.2743	1.1553	1.0748
No log	5.8696	270	1.1775	0.2367	1.1775	1.0851
No log	5.9130	272	1.2517	0.1935	1.2517	1.1188
No log	5.9565	274	1.2168	0.1935	1.2168	1.1031
No log	6.0	276	1.1152	0.2402	1.1152	1.0560
No log	6.0435	278	1.1285	0.2475	1.1285	1.0623
No log	6.0870	280	1.2532	0.2617	1.2532	1.1195
No log	6.1304	282	1.4690	0.2632	1.4690	1.2120
No log	6.1739	284	1.6400	0.3219	1.6400	1.2806
No log	6.2174	286	1.5979	0.3383	1.5979	1.2641
No log	6.2609	288	1.3254	0.2903	1.3254	1.1513
No log	6.3043	290	1.1477	0.3438	1.1477	1.0713
No log	6.3478	292	1.0508	0.2998	1.0508	1.0251
No log	6.3913	294	1.1049	0.2930	1.1049	1.0511
No log	6.4348	296	1.2790	0.2586	1.2790	1.1309
No log	6.4783	298	1.3121	0.2173	1.3121	1.1455
No log	6.5217	300	1.2595	0.1745	1.2595	1.1223
No log	6.5652	302	1.1685	0.1538	1.1685	1.0810
No log	6.6087	304	1.1663	0.1538	1.1663	1.0799
No log	6.6522	306	1.1214	0.1696	1.1214	1.0589
No log	6.6957	308	1.2074	0.1637	1.2074	1.0988
No log	6.7391	310	1.2648	0.1440	1.2648	1.1246
No log	6.7826	312	1.3777	0.1345	1.3777	1.1737
No log	6.8261	314	1.3739	0.1345	1.3739	1.1722
No log	6.8696	316	1.2697	0.1031	1.2697	1.1268
No log	6.9130	318	1.1635	0.1440	1.1635	1.0787
No log	6.9565	320	1.0852	0.1853	1.0852	1.0417
No log	7.0	322	1.1148	0.1596	1.1148	1.0558
No log	7.0435	324	1.1851	0.1889	1.1851	1.0886
No log	7.0870	326	1.2449	0.2213	1.2449	1.1158
No log	7.1304	328	1.2107	0.2512	1.2107	1.1003
No log	7.1739	330	1.0905	0.3046	1.0905	1.0443
No log	7.2174	332	1.0588	0.2857	1.0588	1.0290
No log	7.2609	334	1.1178	0.2602	1.1178	1.0573
No log	7.3043	336	1.2510	0.2512	1.2510	1.1185
No log	7.3478	338	1.3561	0.3220	1.3561	1.1645
No log	7.3913	340	1.2888	0.2512	1.2888	1.1352
No log	7.4348	342	1.0695	0.2250	1.0695	1.0342
No log	7.4783	344	1.0304	0.2417	1.0304	1.0151
No log	7.5217	346	1.1582	0.2348	1.1582	1.0762
No log	7.5652	348	1.2684	0.2844	1.2684	1.1262
No log	7.6087	350	1.3202	0.2479	1.3202	1.1490
No log	7.6522	352	1.2723	0.2317	1.2723	1.1280
No log	7.6957	354	1.2150	0.2278	1.2150	1.1023
No log	7.7391	356	1.0981	0.2046	1.0981	1.0479
No log	7.7826	358	0.9789	0.2219	0.9789	0.9894
No log	7.8261	360	0.9571	0.2219	0.9571	0.9783
No log	7.8696	362	1.0565	0.2884	1.0565	1.0279
No log	7.9130	364	1.2201	0.2725	1.2201	1.1046
No log	7.9565	366	1.2609	0.2586	1.2609	1.1229
No log	8.0	368	1.1853	0.1896	1.1853	1.0887
No log	8.0435	370	1.1160	0.2108	1.1160	1.0564
No log	8.0870	372	1.1039	0.1417	1.1039	1.0507
No log	8.1304	374	1.1157	0.0974	1.1157	1.0563
No log	8.1739	376	1.1743	0.1596	1.1743	1.0836
No log	8.2174	378	1.1340	0.2195	1.1340	1.0649
No log	8.2609	380	1.0263	0.2650	1.0263	1.0131
No log	8.3043	382	0.8891	0.3217	0.8891	0.9429
No log	8.3478	384	0.8458	0.4282	0.8458	0.9197
No log	8.3913	386	0.8776	0.3753	0.8776	0.9368
No log	8.4348	388	0.9996	0.2654	0.9996	0.9998
No log	8.4783	390	1.2150	0.2330	1.2150	1.1023
No log	8.5217	392	1.3036	0.2696	1.3036	1.1418
No log	8.5652	394	1.3130	0.1889	1.3130	1.1459
No log	8.6087	396	1.2895	0.1889	1.2895	1.1355
No log	8.6522	398	1.2319	0.1500	1.2319	1.1099
No log	8.6957	400	1.1813	0.1379	1.1813	1.0869
No log	8.7391	402	1.2000	0.1379	1.2000	1.0954
No log	8.7826	404	1.2050	0.1185	1.2050	1.0977
No log	8.8261	406	1.2323	0.1500	1.2323	1.1101
No log	8.8696	408	1.2384	0.2184	1.2384	1.1128
No log	8.9130	410	1.1928	0.2602	1.1928	1.0922
No log	8.9565	412	1.2004	0.3115	1.2004	1.0956
No log	9.0	414	1.1146	0.2857	1.1146	1.0558
No log	9.0435	416	1.0278	0.1808	1.0278	1.0138
No log	9.0870	418	1.0516	0.1602	1.0516	1.0255
No log	9.1304	420	1.1158	0.1903	1.1158	1.0563
No log	9.1739	422	1.1210	0.1903	1.1210	1.0588
No log	9.2174	424	1.1783	0.1750	1.1783	1.0855
No log	9.2609	426	1.2273	0.2317	1.2273	1.1079
No log	9.3043	428	1.1979	0.1440	1.1979	1.0945
No log	9.3478	430	1.1255	0.1952	1.1255	1.0609
No log	9.3913	432	1.0807	0.1417	1.0807	1.0396
No log	9.4348	434	1.0993	0.1247	1.0993	1.0485
No log	9.4783	436	1.1346	0.1846	1.1346	1.0652
No log	9.5217	438	1.1270	0.2439	1.1270	1.0616
No log	9.5652	440	1.0935	0.2439	1.0935	1.0457
No log	9.6087	442	1.0726	0.2651	1.0726	1.0356
No log	9.6522	444	1.1045	0.2439	1.1045	1.0510
No log	9.6957	446	1.0993	0.2051	1.0993	1.0485
No log	9.7391	448	1.0528	0.1480	1.0528	1.0260
No log	9.7826	450	1.0315	0.1645	1.0315	1.0156
No log	9.8261	452	1.0807	0.1952	1.0807	1.0396
No log	9.8696	454	1.1966	0.2553	1.1966	1.0939
No log	9.9130	456	1.2671	0.2707	1.2671	1.1256
No log	9.9565	458	1.2297	0.3433	1.2297	1.1089
No log	10.0	460	1.0999	0.2837	1.0999	1.0488
No log	10.0435	462	1.0677	0.2743	1.0677	1.0333
No log	10.0870	464	1.1248	0.2837	1.1248	1.0606
No log	10.1304	466	1.1626	0.1991	1.1626	1.0782
No log	10.1739	468	1.1976	0.1440	1.1976	1.0944
No log	10.2174	470	1.1848	0.1637	1.1848	1.0885
No log	10.2609	472	1.1426	0.0904	1.1426	1.0689
No log	10.3043	474	1.1291	0.0904	1.1291	1.0626
No log	10.3478	476	1.1291	0.1122	1.1291	1.0626
No log	10.3913	478	1.2456	0.2278	1.2456	1.1161
No log	10.4348	480	1.3021	0.2553	1.3021	1.1411
No log	10.4783	482	1.4101	0.3332	1.4101	1.1875
No log	10.5217	484	1.3472	0.3332	1.3472	1.1607
No log	10.5652	486	1.2700	0.2586	1.2700	1.1269
No log	10.6087	488	1.1424	0.2195	1.1424	1.0688
No log	10.6522	490	1.0848	0.1214	1.0848	1.0415
No log	10.6957	492	1.0346	0.1649	1.0346	1.0171
No log	10.7391	494	1.0200	0.1649	1.0200	1.0100
No log	10.7826	496	0.9957	0.1546	0.9957	0.9978
No log	10.8261	498	1.0261	0.1649	1.0261	1.0130
0.397	10.8696	500	1.1662	0.2051	1.1662	1.0799
0.397	10.9130	502	1.2600	0.2553	1.2600	1.1225
0.397	10.9565	504	1.2668	0.2553	1.2668	1.1255
0.397	11.0	506	1.3038	0.1789	1.3038	1.1418
0.397	11.0435	508	1.3706	0.1889	1.3706	1.1707
0.397	11.0870	510	1.3891	0.1889	1.3891	1.1786
0.397	11.1304	512	1.3745	0.1889	1.3745	1.1724
0.397	11.1739	514	1.3240	0.0887	1.3240	1.1507

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu118
• Datasets 2.21.0
• Tokenizers 0.19.1