ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k7_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: 1.1955
• Qwk: 0.2000
• Mse: 1.1955
• Rmse: 1.0934

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	0.0952	2	4.8742	0.0064	4.8742	2.2078
No log	0.1905	4	3.0559	-0.0434	3.0559	1.7481
No log	0.2857	6	1.9143	-0.0017	1.9143	1.3836
No log	0.3810	8	1.5955	0.0372	1.5955	1.2631
No log	0.4762	10	1.4779	0.0018	1.4779	1.2157
No log	0.5714	12	1.5939	0.0393	1.5939	1.2625
No log	0.6667	14	1.4775	-0.0284	1.4775	1.2155
No log	0.7619	16	1.4014	0.0038	1.4014	1.1838
No log	0.8571	18	1.2466	0.1952	1.2466	1.1165
No log	0.9524	20	1.2711	0.0427	1.2711	1.1274
No log	1.0476	22	1.2934	0.0454	1.2934	1.1373
No log	1.1429	24	1.2412	0.0904	1.2412	1.1141
No log	1.2381	26	1.2404	0.1294	1.2404	1.1137
No log	1.3333	28	1.2516	0.1107	1.2516	1.1188
No log	1.4286	30	1.2621	0.1696	1.2621	1.1234
No log	1.5238	32	1.2718	0.0586	1.2718	1.1278
No log	1.6190	34	1.2954	0.0918	1.2954	1.1382
No log	1.7143	36	1.2505	0.1108	1.2505	1.1183
No log	1.8095	38	1.2041	0.1927	1.2041	1.0973
No log	1.9048	40	1.1759	0.1495	1.1759	1.0844
No log	2.0	42	1.2701	0.0941	1.2701	1.1270
No log	2.0952	44	1.7496	-0.0020	1.7496	1.3227
No log	2.1905	46	2.0774	-0.0497	2.0774	1.4413
No log	2.2857	48	1.8623	-0.1374	1.8623	1.3646
No log	2.3810	50	1.6826	-0.1882	1.6826	1.2972
No log	2.4762	52	1.2431	0.1532	1.2431	1.1150
No log	2.5714	54	1.1036	0.2167	1.1036	1.0505
No log	2.6667	56	1.0878	0.1995	1.0878	1.0430
No log	2.7619	58	1.2546	0.1058	1.2546	1.1201
No log	2.8571	60	1.2889	0.0885	1.2889	1.1353
No log	2.9524	62	1.1215	0.2164	1.1215	1.0590
No log	3.0476	64	0.9872	0.3374	0.9872	0.9936
No log	3.1429	66	0.9772	0.2893	0.9772	0.9885
No log	3.2381	68	1.0894	0.2454	1.0894	1.0437
No log	3.3333	70	1.3627	0.2354	1.3627	1.1674
No log	3.4286	72	1.4397	0.1621	1.4397	1.1999
No log	3.5238	74	1.2980	0.2143	1.2980	1.1393
No log	3.6190	76	1.0423	0.3217	1.0423	1.0209
No log	3.7143	78	1.0022	0.3066	1.0022	1.0011
No log	3.8095	80	1.0109	0.3117	1.0109	1.0054
No log	3.9048	82	1.0914	0.1905	1.0914	1.0447
No log	4.0	84	1.4079	0.2489	1.4079	1.1865
No log	4.0952	86	1.5050	0.2731	1.5050	1.2268
No log	4.1905	88	1.2736	0.2833	1.2736	1.1286
No log	4.2857	90	1.0094	0.3943	1.0094	1.0047
No log	4.3810	92	1.0105	0.3159	1.0105	1.0052
No log	4.4762	94	1.0973	0.2829	1.0973	1.0475
No log	4.5714	96	1.2464	0.2074	1.2464	1.1164
No log	4.6667	98	1.2404	0.2074	1.2404	1.1138
No log	4.7619	100	1.2578	0.1801	1.2578	1.1215
No log	4.8571	102	1.1220	0.1801	1.1220	1.0593
No log	4.9524	104	1.0741	0.2069	1.0741	1.0364
No log	5.0476	106	1.0674	0.2689	1.0674	1.0331
No log	5.1429	108	1.1566	0.1850	1.1566	1.0755
No log	5.2381	110	1.3475	0.2773	1.3475	1.1608
No log	5.3333	112	1.5208	0.3160	1.5208	1.2332
No log	5.4286	114	1.4392	0.3490	1.4392	1.1997
No log	5.5238	116	1.2132	0.3516	1.2132	1.1015
No log	5.6190	118	1.2578	0.3921	1.2578	1.1215
No log	5.7143	120	1.4873	0.3331	1.4873	1.2196
No log	5.8095	122	1.4211	0.3317	1.4211	1.1921
No log	5.9048	124	1.2931	0.3778	1.2931	1.1372
No log	6.0	126	1.3242	0.3478	1.3242	1.1507
No log	6.0952	128	1.4600	0.3177	1.4600	1.2083
No log	6.1905	130	1.3775	0.3309	1.3775	1.1737
No log	6.2857	132	1.1942	0.3089	1.1942	1.0928
No log	6.3810	134	1.0231	0.4202	1.0231	1.0115
No log	6.4762	136	1.0764	0.3375	1.0764	1.0375
No log	6.5714	138	1.3574	0.3024	1.3574	1.1651
No log	6.6667	140	1.6515	0.1306	1.6515	1.2851
No log	6.7619	142	1.7861	0.1216	1.7861	1.3365
No log	6.8571	144	1.7029	0.1885	1.7029	1.3050
No log	6.9524	146	1.3646	0.3665	1.3646	1.1682
No log	7.0476	148	1.1552	0.4102	1.1552	1.0748
No log	7.1429	150	1.1499	0.3802	1.1499	1.0723
No log	7.2381	152	1.2363	0.3209	1.2363	1.1119
No log	7.3333	154	1.3256	0.3084	1.3256	1.1513
No log	7.4286	156	1.4254	0.2947	1.4254	1.1939
No log	7.5238	158	1.4121	0.2925	1.4121	1.1883
No log	7.6190	160	1.4056	0.2468	1.4056	1.1856
No log	7.7143	162	1.2958	0.2527	1.2958	1.1383
No log	7.8095	164	1.2043	0.2574	1.2043	1.0974
No log	7.9048	166	1.1647	0.2857	1.1647	1.0792
No log	8.0	168	1.1751	0.2857	1.1751	1.0840
No log	8.0952	170	1.3019	0.2650	1.3019	1.1410
No log	8.1905	172	1.5642	0.3166	1.5642	1.2507
No log	8.2857	174	1.8198	0.2453	1.8198	1.3490
No log	8.3810	176	1.7838	0.2568	1.7838	1.3356
No log	8.4762	178	1.5480	0.2878	1.5480	1.2442
No log	8.5714	180	1.3471	0.2880	1.3471	1.1606
No log	8.6667	182	1.2805	0.2259	1.2805	1.1316
No log	8.7619	184	1.2926	0.1997	1.2926	1.1369
No log	8.8571	186	1.1912	0.2019	1.1912	1.0914
No log	8.9524	188	1.1401	0.1927	1.1401	1.0678
No log	9.0476	190	1.1321	0.2028	1.1321	1.0640
No log	9.1429	192	1.1797	0.2013	1.1797	1.0861
No log	9.2381	194	1.3152	0.2207	1.3152	1.1468
No log	9.3333	196	1.3674	0.2460	1.3674	1.1694
No log	9.4286	198	1.3212	0.2743	1.3212	1.1494
No log	9.5238	200	1.3961	0.2460	1.3961	1.1816
No log	9.6190	202	1.3682	0.2424	1.3682	1.1697
No log	9.7143	204	1.3093	0.2090	1.3093	1.1443
No log	9.8095	206	1.3631	0.2494	1.3631	1.1675
No log	9.9048	208	1.3922	0.2337	1.3922	1.1799
No log	10.0	210	1.4583	0.2275	1.4583	1.2076
No log	10.0952	212	1.3810	0.2337	1.3810	1.1752
No log	10.1905	214	1.2575	0.2387	1.2575	1.1214
No log	10.2857	216	1.2652	0.2387	1.2652	1.1248
No log	10.3810	218	1.4054	0.2144	1.4054	1.1855
No log	10.4762	220	1.5554	0.2970	1.5554	1.2472
No log	10.5714	222	1.4975	0.2569	1.4975	1.2237
No log	10.6667	224	1.3368	0.3500	1.3368	1.1562
No log	10.7619	226	1.2038	0.3274	1.2038	1.0972
No log	10.8571	228	1.2678	0.2938	1.2678	1.1260
No log	10.9524	230	1.3449	0.3106	1.3449	1.1597
No log	11.0476	232	1.4613	0.3238	1.4613	1.2088
No log	11.1429	234	1.3359	0.2337	1.3359	1.1558
No log	11.2381	236	1.3181	0.2337	1.3181	1.1481
No log	11.3333	238	1.3288	0.2337	1.3288	1.1528
No log	11.4286	240	1.2229	0.2809	1.2229	1.1058
No log	11.5238	242	1.2055	0.2978	1.2055	1.0980
No log	11.6190	244	1.2685	0.2693	1.2685	1.1263
No log	11.7143	246	1.5240	0.3125	1.5240	1.2345
No log	11.8095	248	1.5913	0.1886	1.5913	1.2615
No log	11.9048	250	1.4489	0.2754	1.4489	1.2037
No log	12.0	252	1.2482	0.1521	1.2482	1.1172
No log	12.0952	254	1.0965	0.2246	1.0965	1.0471
No log	12.1905	256	1.0693	0.2142	1.0693	1.0341
No log	12.2857	258	1.1325	0.1417	1.1325	1.0642
No log	12.3810	260	1.3103	0.1479	1.3103	1.1447
No log	12.4762	262	1.5161	0.1886	1.5161	1.2313
No log	12.5714	264	1.5481	0.3125	1.5481	1.2442
No log	12.6667	266	1.3906	0.3723	1.3906	1.1792
No log	12.7619	268	1.2925	0.3402	1.2925	1.1369
No log	12.8571	270	1.3221	0.3277	1.3221	1.1498
No log	12.9524	272	1.3966	0.2807	1.3966	1.1818
No log	13.0476	274	1.3240	0.2195	1.3240	1.1506
No log	13.1429	276	1.2431	0.1479	1.2431	1.1149
No log	13.2381	278	1.1563	0.1801	1.1563	1.0753
No log	13.3333	280	1.1555	0.1701	1.1555	1.0749
No log	13.4286	282	1.2821	0.2725	1.2821	1.1323
No log	13.5238	284	1.4378	0.3745	1.4378	1.1991
No log	13.6190	286	1.5358	0.3404	1.5358	1.2393
No log	13.7143	288	1.4438	0.3177	1.4438	1.2016
No log	13.8095	290	1.3259	0.3570	1.3259	1.1515
No log	13.9048	292	1.2086	0.3281	1.2086	1.0994
No log	14.0	294	1.1149	0.3294	1.1149	1.0559
No log	14.0952	296	1.0686	0.3415	1.0686	1.0337
No log	14.1905	298	1.1013	0.3349	1.1013	1.0494
No log	14.2857	300	1.1959	0.2634	1.1959	1.0936
No log	14.3810	302	1.2943	0.1896	1.2943	1.1377
No log	14.4762	304	1.3242	0.1795	1.3242	1.1508
No log	14.5714	306	1.2979	0.1795	1.2979	1.1393
No log	14.6667	308	1.2341	0.1596	1.2341	1.1109
No log	14.7619	310	1.2393	0.2424	1.2393	1.1132
No log	14.8571	312	1.3094	0.2589	1.3094	1.1443
No log	14.9524	314	1.4427	0.2055	1.4427	1.2011
No log	15.0476	316	1.5321	0.1667	1.5321	1.2378
No log	15.1429	318	1.4647	0.2055	1.4647	1.2102
No log	15.2381	320	1.3509	0.2857	1.3509	1.1623
No log	15.3333	322	1.2797	0.2747	1.2797	1.1313
No log	15.4286	324	1.2622	0.3044	1.2622	1.1235
No log	15.5238	326	1.2355	0.3287	1.2355	1.1116
No log	15.6190	328	1.3224	0.3580	1.3224	1.1499
No log	15.7143	330	1.3410	0.3100	1.3410	1.1580
No log	15.8095	332	1.3666	0.2017	1.3666	1.1690
No log	15.9048	334	1.3318	0.1159	1.3318	1.1540
No log	16.0	336	1.3451	0.1416	1.3451	1.1598
No log	16.0952	338	1.2920	0.1416	1.2920	1.1367
No log	16.1905	340	1.2440	0.1416	1.2440	1.1154
No log	16.2857	342	1.1151	0.2072	1.1151	1.0560
No log	16.3810	344	1.0542	0.2843	1.0542	1.0267
No log	16.4762	346	1.1046	0.2998	1.1046	1.0510
No log	16.5714	348	1.2655	0.3387	1.2655	1.1250
No log	16.6667	350	1.4820	0.2658	1.4820	1.2174
No log	16.7619	352	1.5200	0.2493	1.5200	1.2329
No log	16.8571	354	1.4019	0.2578	1.4019	1.1840
No log	16.9524	356	1.2627	0.3387	1.2627	1.1237
No log	17.0476	358	1.1423	0.3231	1.1423	1.0688
No log	17.1429	360	1.1254	0.3398	1.1254	1.0609
No log	17.2381	362	1.2313	0.3621	1.2313	1.1097
No log	17.3333	364	1.2874	0.3500	1.2874	1.1346
No log	17.4286	366	1.2918	0.3512	1.2918	1.1366
No log	17.5238	368	1.3542	0.3106	1.3542	1.1637
No log	17.6190	370	1.3409	0.3047	1.3409	1.1580
No log	17.7143	372	1.2291	0.1896	1.2291	1.1087
No log	17.8095	374	1.1908	0.1846	1.1908	1.0912
No log	17.9048	376	1.2348	0.1846	1.2348	1.1112
No log	18.0	378	1.3513	0.1135	1.3513	1.1624
No log	18.0952	380	1.4756	0.2632	1.4756	1.2147
No log	18.1905	382	1.4669	0.2782	1.4669	1.2112
No log	18.2857	384	1.3466	0.2559	1.3466	1.1604
No log	18.3810	386	1.2281	0.1896	1.2281	1.1082
No log	18.4762	388	1.1570	0.2152	1.1570	1.0756
No log	18.5714	390	1.1338	0.1755	1.1338	1.0648
No log	18.6667	392	1.1510	0.1755	1.1510	1.0728
No log	18.7619	394	1.1268	0.1755	1.1268	1.0615
No log	18.8571	396	1.1988	0.2439	1.1988	1.0949
No log	18.9524	398	1.3539	0.3067	1.3539	1.1636
No log	19.0476	400	1.4910	0.2633	1.4910	1.2211
No log	19.1429	402	1.4589	0.2947	1.4589	1.2079
No log	19.2381	404	1.3645	0.3047	1.3645	1.1681
No log	19.3333	406	1.2854	0.2141	1.2854	1.1338
No log	19.4286	408	1.2404	0.2097	1.2404	1.1138
No log	19.5238	410	1.2236	0.2250	1.2236	1.1062
No log	19.6190	412	1.2701	0.2141	1.2701	1.1270
No log	19.7143	414	1.3723	0.2354	1.3723	1.1714
No log	19.8095	416	1.4423	0.1935	1.4423	1.2010
No log	19.9048	418	1.4325	0.2131	1.4325	1.1969
No log	20.0	420	1.3734	0.1789	1.3734	1.1719
No log	20.0952	422	1.3128	0.1219	1.3128	1.1458
No log	20.1905	424	1.2701	0.1053	1.2701	1.1270
No log	20.2857	426	1.2449	0.1217	1.2449	1.1157
No log	20.3810	428	1.3156	0.1379	1.3156	1.1470
No log	20.4762	430	1.4311	0.1891	1.4311	1.1963
No log	20.5714	432	1.5361	0.2985	1.5361	1.2394
No log	20.6667	434	1.5846	0.3302	1.5846	1.2588
No log	20.7619	436	1.5420	0.3086	1.5420	1.2418
No log	20.8571	438	1.4821	0.3271	1.4821	1.2174
No log	20.9524	440	1.3804	0.2105	1.3804	1.1749
No log	21.0476	442	1.2822	0.2424	1.2822	1.1323
No log	21.1429	444	1.2625	0.2457	1.2625	1.1236
No log	21.2381	446	1.2939	0.2918	1.2939	1.1375
No log	21.3333	448	1.3431	0.2163	1.3431	1.1589
No log	21.4286	450	1.4106	0.1618	1.4106	1.1877
No log	21.5238	452	1.4305	0.1618	1.4305	1.1961
No log	21.6190	454	1.3957	0.1698	1.3957	1.1814
No log	21.7143	456	1.3243	0.1440	1.3243	1.1508
No log	21.8095	458	1.2648	0.1440	1.2648	1.1246
No log	21.9048	460	1.3071	0.1554	1.3071	1.1433
No log	22.0	462	1.3952	0.2457	1.3952	1.1812
No log	22.0952	464	1.4547	0.2520	1.4547	1.2061
No log	22.1905	466	1.4738	0.3188	1.4738	1.2140
No log	22.2857	468	1.3862	0.2918	1.3862	1.1774
No log	22.3810	470	1.3021	0.3261	1.3021	1.1411
No log	22.4762	472	1.2587	0.3475	1.2587	1.1219
No log	22.5714	474	1.2741	0.3913	1.2741	1.1288
No log	22.6667	476	1.3031	0.4122	1.3031	1.1415
No log	22.7619	478	1.3277	0.4122	1.3277	1.1523
No log	22.8571	480	1.2852	0.3922	1.2852	1.1337
No log	22.9524	482	1.2476	0.3461	1.2476	1.1170
No log	23.0476	484	1.1406	0.2570	1.1406	1.0680
No log	23.1429	486	1.0396	0.2668	1.0396	1.0196
No log	23.2381	488	1.0459	0.2668	1.0459	1.0227
No log	23.3333	490	1.0941	0.2837	1.0941	1.0460
No log	23.4286	492	1.2297	0.3416	1.2297	1.1089
No log	23.5238	494	1.3471	0.4312	1.3471	1.1606
No log	23.6190	496	1.3173	0.4124	1.3173	1.1477
No log	23.7143	498	1.2349	0.3641	1.2349	1.1113
0.2789	23.8095	500	1.2004	0.3667	1.2004	1.0956
0.2789	23.9048	502	1.1670	0.3232	1.1670	1.0803
0.2789	24.0	504	1.2141	0.3317	1.2141	1.1019
0.2789	24.0952	506	1.2211	0.3136	1.2211	1.1050
0.2789	24.1905	508	1.2082	0.2570	1.2082	1.0992
0.2789	24.2857	510	1.1955	0.2000	1.1955	1.0934

Framework versions

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