ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run2_AugV5_k10_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: 1.2452
• Qwk: 0.3251
• Mse: 1.2452
• Rmse: 1.1159

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0385	2	3.9014	-0.0151	3.9014	1.9752
No log	0.0769	4	2.0314	0.0121	2.0314	1.4253
No log	0.1154	6	1.0215	0.0666	1.0215	1.0107
No log	0.1538	8	0.7889	0.0767	0.7889	0.8882
No log	0.1923	10	0.7475	0.0094	0.7475	0.8646
No log	0.2308	12	0.7127	0.2379	0.7127	0.8442
No log	0.2692	14	0.7340	0.1101	0.7340	0.8567
No log	0.3077	16	0.8301	0.0670	0.8301	0.9111
No log	0.3462	18	0.8702	0.1092	0.8702	0.9328
No log	0.3846	20	0.8499	0.1493	0.8499	0.9219
No log	0.4231	22	0.8671	0.1793	0.8671	0.9312
No log	0.4615	24	0.8913	0.2333	0.8913	0.9441
No log	0.5	26	0.8341	0.1673	0.8341	0.9133
No log	0.5385	28	1.0228	-0.1002	1.0228	1.0113
No log	0.5769	30	1.2091	-0.0317	1.2091	1.0996
No log	0.6154	32	0.8769	0.0686	0.8769	0.9364
No log	0.6538	34	0.6758	0.1936	0.6758	0.8221
No log	0.6923	36	0.7131	0.1518	0.7131	0.8445
No log	0.7308	38	0.7876	0.2313	0.7876	0.8875
No log	0.7692	40	0.7642	0.2401	0.7642	0.8742
No log	0.8077	42	0.6559	0.1737	0.6559	0.8099
No log	0.8462	44	0.6280	0.3087	0.6280	0.7925
No log	0.8846	46	0.6219	0.2069	0.6219	0.7886
No log	0.9231	48	0.6236	0.3039	0.6236	0.7897
No log	0.9615	50	0.6286	0.4007	0.6286	0.7928
No log	1.0	52	0.6474	0.3933	0.6474	0.8046
No log	1.0385	54	0.7724	0.3191	0.7724	0.8788
No log	1.0769	56	1.0259	0.2536	1.0259	1.0129
No log	1.1154	58	1.4162	0.2073	1.4162	1.1900
No log	1.1538	60	1.4330	0.1557	1.4330	1.1971
No log	1.1923	62	1.0582	0.2980	1.0582	1.0287
No log	1.2308	64	0.7408	0.4190	0.7408	0.8607
No log	1.2692	66	0.6898	0.3741	0.6898	0.8306
No log	1.3077	68	0.6569	0.4065	0.6569	0.8105
No log	1.3462	70	0.6930	0.4476	0.6930	0.8325
No log	1.3846	72	0.9824	0.3068	0.9824	0.9912
No log	1.4231	74	1.4660	0.2169	1.4660	1.2108
No log	1.4615	76	1.4740	0.1706	1.4740	1.2141
No log	1.5	78	1.3391	0.2029	1.3391	1.1572
No log	1.5385	80	1.2308	0.2484	1.2308	1.1094
No log	1.5769	82	1.1715	0.2342	1.1715	1.0824
No log	1.6154	84	1.2932	0.2176	1.2932	1.1372
No log	1.6538	86	1.2755	0.2505	1.2755	1.1294
No log	1.6923	88	1.0820	0.2346	1.0820	1.0402
No log	1.7308	90	0.9165	0.3664	0.9165	0.9574
No log	1.7692	92	0.9125	0.3820	0.9125	0.9552
No log	1.8077	94	0.9292	0.3881	0.9292	0.9640
No log	1.8462	96	0.9089	0.4263	0.9089	0.9534
No log	1.8846	98	1.1530	0.3066	1.1530	1.0738
No log	1.9231	100	1.2490	0.3172	1.2490	1.1176
No log	1.9615	102	1.0877	0.3515	1.0877	1.0429
No log	2.0	104	0.8135	0.4056	0.8135	0.9019
No log	2.0385	106	0.7838	0.4482	0.7838	0.8853
No log	2.0769	108	0.9665	0.3831	0.9665	0.9831
No log	2.1154	110	1.0369	0.3876	1.0369	1.0183
No log	2.1538	112	1.1270	0.3570	1.1270	1.0616
No log	2.1923	114	1.0519	0.4031	1.0519	1.0256
No log	2.2308	116	0.9277	0.4302	0.9277	0.9632
No log	2.2692	118	1.0173	0.4138	1.0173	1.0086
No log	2.3077	120	1.2621	0.3653	1.2621	1.1235
No log	2.3462	122	1.2376	0.3729	1.2376	1.1125
No log	2.3846	124	1.1841	0.3751	1.1841	1.0881
No log	2.4231	126	0.9941	0.3844	0.9941	0.9970
No log	2.4615	128	0.9224	0.4187	0.9224	0.9604
No log	2.5	130	1.0771	0.3525	1.0771	1.0378
No log	2.5385	132	1.5026	0.3141	1.5026	1.2258
No log	2.5769	134	1.8463	0.2695	1.8463	1.3588
No log	2.6154	136	1.7538	0.2860	1.7538	1.3243
No log	2.6538	138	1.3164	0.3023	1.3164	1.1474
No log	2.6923	140	0.9458	0.3653	0.9458	0.9725
No log	2.7308	142	0.7668	0.4078	0.7668	0.8757
No log	2.7692	144	0.8300	0.4022	0.8300	0.9110
No log	2.8077	146	1.1433	0.3455	1.1433	1.0692
No log	2.8462	148	1.6344	0.2711	1.6344	1.2784
No log	2.8846	150	1.7089	0.2667	1.7089	1.3073
No log	2.9231	152	1.4446	0.3488	1.4446	1.2019
No log	2.9615	154	1.2482	0.3652	1.2482	1.1172
No log	3.0	156	1.2241	0.3622	1.2241	1.1064
No log	3.0385	158	1.4877	0.3395	1.4877	1.2197
No log	3.0769	160	1.7432	0.3323	1.7432	1.3203
No log	3.1154	162	1.8457	0.2849	1.8457	1.3586
No log	3.1538	164	1.7102	0.3289	1.7102	1.3078
No log	3.1923	166	1.5653	0.3361	1.5653	1.2511
No log	3.2308	168	1.4615	0.3327	1.4615	1.2089
No log	3.2692	170	1.1348	0.3225	1.1348	1.0653
No log	3.3077	172	1.1119	0.3387	1.1119	1.0544
No log	3.3462	174	1.2754	0.3047	1.2754	1.1293
No log	3.3846	176	1.3484	0.3162	1.3484	1.1612
No log	3.4231	178	1.3477	0.3425	1.3477	1.1609
No log	3.4615	180	1.2489	0.3129	1.2489	1.1175
No log	3.5	182	1.2550	0.3186	1.2550	1.1203
No log	3.5385	184	1.3284	0.3174	1.3284	1.1526
No log	3.5769	186	1.2345	0.3220	1.2345	1.1111
No log	3.6154	188	1.0912	0.3406	1.0912	1.0446
No log	3.6538	190	1.0029	0.4202	1.0029	1.0014
No log	3.6923	192	1.0523	0.4054	1.0523	1.0258
No log	3.7308	194	1.2252	0.3116	1.2252	1.1069
No log	3.7692	196	1.5728	0.2979	1.5728	1.2541
No log	3.8077	198	1.5468	0.3124	1.5468	1.2437
No log	3.8462	200	1.2805	0.3247	1.2805	1.1316
No log	3.8846	202	1.0296	0.3920	1.0296	1.0147
No log	3.9231	204	0.9172	0.4542	0.9172	0.9577
No log	3.9615	206	0.9547	0.4220	0.9547	0.9771
No log	4.0	208	1.0760	0.3823	1.0760	1.0373
No log	4.0385	210	1.2423	0.3595	1.2423	1.1146
No log	4.0769	212	1.2540	0.3316	1.2540	1.1198
No log	4.1154	214	1.3367	0.3184	1.3367	1.1561
No log	4.1538	216	1.3543	0.3126	1.3543	1.1637
No log	4.1923	218	1.2523	0.3188	1.2523	1.1191
No log	4.2308	220	1.1862	0.3182	1.1862	1.0891
No log	4.2692	222	1.2746	0.3210	1.2746	1.1290
No log	4.3077	224	1.2164	0.3356	1.2164	1.1029
No log	4.3462	226	1.1304	0.3408	1.1304	1.0632
No log	4.3846	228	0.9950	0.3737	0.9950	0.9975
No log	4.4231	230	0.9087	0.4449	0.9087	0.9532
No log	4.4615	232	1.0101	0.3648	1.0101	1.0050
No log	4.5	234	1.2238	0.3220	1.2238	1.1063
No log	4.5385	236	1.2619	0.3206	1.2619	1.1233
No log	4.5769	238	1.1403	0.3682	1.1403	1.0679
No log	4.6154	240	0.9952	0.4419	0.9952	0.9976
No log	4.6538	242	0.9923	0.4601	0.9923	0.9961
No log	4.6923	244	0.9215	0.4437	0.9215	0.9599
No log	4.7308	246	0.9410	0.4395	0.9410	0.9700
No log	4.7692	248	1.0207	0.4319	1.0207	1.0103
No log	4.8077	250	1.1589	0.3640	1.1589	1.0765
No log	4.8462	252	1.1461	0.3579	1.1461	1.0706
No log	4.8846	254	1.2085	0.3605	1.2085	1.0993
No log	4.9231	256	1.1409	0.3495	1.1409	1.0681
No log	4.9615	258	0.9551	0.3689	0.9551	0.9773
No log	5.0	260	0.8924	0.3840	0.8924	0.9447
No log	5.0385	262	0.9679	0.3359	0.9679	0.9838
No log	5.0769	264	0.9776	0.3508	0.9776	0.9887
No log	5.1154	266	0.9485	0.3775	0.9485	0.9739
No log	5.1538	268	0.8980	0.3549	0.8980	0.9476
No log	5.1923	270	0.9287	0.3830	0.9287	0.9637
No log	5.2308	272	1.0670	0.3434	1.0670	1.0330
No log	5.2692	274	1.3116	0.3331	1.3116	1.1452
No log	5.3077	276	1.4387	0.3051	1.4387	1.1994
No log	5.3462	278	1.5084	0.3153	1.5084	1.2282
No log	5.3846	280	1.3872	0.3166	1.3872	1.1778
No log	5.4231	282	1.2215	0.3199	1.2215	1.1052
No log	5.4615	284	1.1859	0.3283	1.1859	1.0890
No log	5.5	286	1.1215	0.3140	1.1215	1.0590
No log	5.5385	288	1.1444	0.2957	1.1444	1.0698
No log	5.5769	290	1.3092	0.3229	1.3092	1.1442
No log	5.6154	292	1.4906	0.3261	1.4906	1.2209
No log	5.6538	294	1.4441	0.3238	1.4441	1.2017
No log	5.6923	296	1.2545	0.2954	1.2545	1.1200
No log	5.7308	298	1.1898	0.2906	1.1898	1.0908
No log	5.7692	300	1.1009	0.3130	1.1009	1.0492
No log	5.8077	302	1.0381	0.3766	1.0381	1.0189
No log	5.8462	304	0.9928	0.3891	0.9928	0.9964
No log	5.8846	306	1.0830	0.3309	1.0830	1.0407
No log	5.9231	308	1.2946	0.3093	1.2946	1.1378
No log	5.9615	310	1.4582	0.3287	1.4582	1.2075
No log	6.0	312	1.5183	0.3219	1.5183	1.2322
No log	6.0385	314	1.4147	0.3287	1.4147	1.1894
No log	6.0769	316	1.2441	0.3111	1.2441	1.1154
No log	6.1154	318	1.1645	0.3207	1.1645	1.0791
No log	6.1538	320	1.1877	0.3207	1.1877	1.0898
No log	6.1923	322	1.2471	0.3269	1.2471	1.1167
No log	6.2308	324	1.3370	0.3212	1.3370	1.1563
No log	6.2692	326	1.3415	0.3287	1.3415	1.1583
No log	6.3077	328	1.2791	0.3143	1.2791	1.1310
No log	6.3462	330	1.1652	0.3254	1.1652	1.0794
No log	6.3846	332	1.0234	0.3732	1.0234	1.0116
No log	6.4231	334	0.9779	0.3951	0.9779	0.9889
No log	6.4615	336	1.0238	0.3957	1.0238	1.0118
No log	6.5	338	1.1390	0.3226	1.1390	1.0673
No log	6.5385	340	1.2491	0.3416	1.2491	1.1176
No log	6.5769	342	1.3666	0.3287	1.3666	1.1690
No log	6.6154	344	1.3963	0.3287	1.3963	1.1817
No log	6.6538	346	1.3159	0.3320	1.3159	1.1471
No log	6.6923	348	1.2838	0.3161	1.2838	1.1331
No log	6.7308	350	1.2247	0.3235	1.2247	1.1067
No log	6.7692	352	1.1608	0.3042	1.1608	1.0774
No log	6.8077	354	1.1771	0.3087	1.1771	1.0849
No log	6.8462	356	1.1799	0.3002	1.1799	1.0862
No log	6.8846	358	1.2051	0.3089	1.2051	1.0978
No log	6.9231	360	1.2994	0.3346	1.2994	1.1399
No log	6.9615	362	1.3494	0.3328	1.3494	1.1616
No log	7.0	364	1.2909	0.3281	1.2909	1.1362
No log	7.0385	366	1.1934	0.3300	1.1934	1.0924
No log	7.0769	368	1.1816	0.3505	1.1816	1.0870
No log	7.1154	370	1.2518	0.3263	1.2518	1.1188
No log	7.1538	372	1.3866	0.3273	1.3866	1.1775
No log	7.1923	374	1.4436	0.3444	1.4436	1.2015
No log	7.2308	376	1.3999	0.3378	1.3999	1.1832
No log	7.2692	378	1.3809	0.3440	1.3809	1.1751
No log	7.3077	380	1.3808	0.3436	1.3808	1.1751
No log	7.3462	382	1.3028	0.3429	1.3028	1.1414
No log	7.3846	384	1.2179	0.3245	1.2179	1.1036
No log	7.4231	386	1.2018	0.3146	1.2018	1.0963
No log	7.4615	388	1.1721	0.3167	1.1721	1.0826
No log	7.5	390	1.1507	0.3303	1.1507	1.0727
No log	7.5385	392	1.1350	0.3725	1.1350	1.0654
No log	7.5769	394	1.1767	0.3474	1.1767	1.0847
No log	7.6154	396	1.1954	0.3553	1.1954	1.0933
No log	7.6538	398	1.1664	0.3578	1.1664	1.0800
No log	7.6923	400	1.1785	0.3578	1.1785	1.0856
No log	7.7308	402	1.2274	0.3314	1.2274	1.1079
No log	7.7692	404	1.2148	0.3377	1.2148	1.1022
No log	7.8077	406	1.2046	0.3377	1.2046	1.0975
No log	7.8462	408	1.1487	0.3533	1.1487	1.0718
No log	7.8846	410	1.1188	0.3602	1.1188	1.0577
No log	7.9231	412	1.1010	0.3602	1.1010	1.0493
No log	7.9615	414	1.0855	0.3776	1.0855	1.0419
No log	8.0	416	1.0782	0.4014	1.0782	1.0384
No log	8.0385	418	1.0507	0.3935	1.0507	1.0251
No log	8.0769	420	1.0253	0.3999	1.0253	1.0126
No log	8.1154	422	1.0474	0.3935	1.0474	1.0234
No log	8.1538	424	1.1143	0.3781	1.1143	1.0556
No log	8.1923	426	1.1766	0.3439	1.1766	1.0847
No log	8.2308	428	1.2483	0.3408	1.2483	1.1173
No log	8.2692	430	1.2840	0.3238	1.2840	1.1331
No log	8.3077	432	1.2584	0.3408	1.2584	1.1218
No log	8.3462	434	1.1932	0.3377	1.1932	1.0923
No log	8.3846	436	1.1693	0.3647	1.1693	1.0813
No log	8.4231	438	1.1687	0.3647	1.1687	1.0811
No log	8.4615	440	1.1673	0.3647	1.1673	1.0804
No log	8.5	442	1.2044	0.3377	1.2044	1.0974
No log	8.5385	444	1.2455	0.3497	1.2455	1.1160
No log	8.5769	446	1.2975	0.3238	1.2975	1.1391
No log	8.6154	448	1.3126	0.3313	1.3126	1.1457
No log	8.6538	450	1.2801	0.3297	1.2801	1.1314
No log	8.6923	452	1.2591	0.3400	1.2591	1.1221
No log	8.7308	454	1.2319	0.3393	1.2319	1.1099
No log	8.7692	456	1.2008	0.3602	1.2008	1.0958
No log	8.8077	458	1.2033	0.3602	1.2033	1.0969
No log	8.8462	460	1.2087	0.3570	1.2087	1.0994
No log	8.8846	462	1.1961	0.3602	1.1961	1.0937
No log	8.9231	464	1.1971	0.3602	1.1971	1.0941
No log	8.9615	466	1.1994	0.3539	1.1994	1.0952
No log	9.0	468	1.2037	0.3539	1.2037	1.0972
No log	9.0385	470	1.2020	0.3539	1.2020	1.0964
No log	9.0769	472	1.2152	0.3539	1.2152	1.1024
No log	9.1154	474	1.2309	0.3584	1.2309	1.1094
No log	9.1538	476	1.2324	0.3539	1.2324	1.1101
No log	9.1923	478	1.2340	0.3539	1.2340	1.1108
No log	9.2308	480	1.2188	0.3539	1.2188	1.1040
No log	9.2692	482	1.2252	0.3539	1.2252	1.1069
No log	9.3077	484	1.2370	0.3333	1.2370	1.1122
No log	9.3462	486	1.2437	0.3333	1.2437	1.1152
No log	9.3846	488	1.2311	0.3333	1.2311	1.1096
No log	9.4231	490	1.2227	0.3539	1.2227	1.1058
No log	9.4615	492	1.2339	0.3314	1.2339	1.1108
No log	9.5	494	1.2477	0.3314	1.2477	1.1170
No log	9.5385	496	1.2697	0.3235	1.2697	1.1268
No log	9.5769	498	1.2929	0.3151	1.2929	1.1371
0.4839	9.6154	500	1.3047	0.3312	1.3047	1.1422
0.4839	9.6538	502	1.3031	0.3129	1.3031	1.1416
0.4839	9.6923	504	1.3037	0.3129	1.3037	1.1418
0.4839	9.7308	506	1.2967	0.3151	1.2967	1.1387
0.4839	9.7692	508	1.2847	0.3070	1.2847	1.1335
0.4839	9.8077	510	1.2685	0.3235	1.2685	1.1263
0.4839	9.8462	512	1.2578	0.3251	1.2578	1.1215
0.4839	9.8846	514	1.2520	0.3251	1.2520	1.1189
0.4839	9.9231	516	1.2477	0.3251	1.2477	1.1170
0.4839	9.9615	518	1.2462	0.3251	1.2462	1.1163
0.4839	10.0	520	1.2452	0.3251	1.2452	1.1159

Framework versions

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