ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k7_task5_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: 1.4248
• Qwk: 0.0781
• Mse: 1.4248
• Rmse: 1.1937

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	0.1176	2	4.0140	-0.0174	4.0140	2.0035
No log	0.2353	4	2.6063	-0.0926	2.6063	1.6144
No log	0.3529	6	1.5650	-0.0684	1.5650	1.2510
No log	0.4706	8	1.1358	0.1160	1.1358	1.0658
No log	0.5882	10	1.0366	0.2541	1.0366	1.0181
No log	0.7059	12	1.1396	0.2515	1.1396	1.0675
No log	0.8235	14	1.1764	0.1240	1.1764	1.0846
No log	0.9412	16	1.1849	0.1148	1.1849	1.0885
No log	1.0588	18	1.0913	0.2243	1.0913	1.0447
No log	1.1765	20	1.0292	0.1799	1.0292	1.0145
No log	1.2941	22	1.1401	0.1755	1.1401	1.0678
No log	1.4118	24	1.3986	-0.1078	1.3986	1.1826
No log	1.5294	26	1.4496	0.0	1.4496	1.2040
No log	1.6471	28	1.2535	0.0380	1.2535	1.1196
No log	1.7647	30	1.2141	0.0996	1.2141	1.1019
No log	1.8824	32	1.1102	0.2221	1.1102	1.0536
No log	2.0	34	1.0261	0.2692	1.0261	1.0130
No log	2.1176	36	1.0550	0.2569	1.0550	1.0271
No log	2.2353	38	1.0972	0.1545	1.0972	1.0475
No log	2.3529	40	1.0478	0.2314	1.0478	1.0236
No log	2.4706	42	1.0741	0.1981	1.0741	1.0364
No log	2.5882	44	1.0318	0.2492	1.0318	1.0158
No log	2.7059	46	1.0765	0.1601	1.0765	1.0376
No log	2.8235	48	1.5068	0.1081	1.5068	1.2275
No log	2.9412	50	1.6387	0.0673	1.6387	1.2801
No log	3.0588	52	1.4641	0.1230	1.4641	1.2100
No log	3.1765	54	1.1123	0.1830	1.1123	1.0546
No log	3.2941	56	1.0416	0.3134	1.0416	1.0206
No log	3.4118	58	1.0282	0.3011	1.0282	1.0140
No log	3.5294	60	1.1434	0.1530	1.1434	1.0693
No log	3.6471	62	1.7029	-0.1001	1.7029	1.3049
No log	3.7647	64	1.8308	-0.1806	1.8308	1.3531
No log	3.8824	66	1.6226	-0.2240	1.6226	1.2738
No log	4.0	68	1.2734	0.0169	1.2734	1.1285
No log	4.1176	70	0.9954	0.2547	0.9954	0.9977
No log	4.2353	72	0.9919	0.1734	0.9919	0.9959
No log	4.3529	74	1.1816	0.1707	1.1816	1.0870
No log	4.4706	76	1.6375	-0.1434	1.6375	1.2797
No log	4.5882	78	1.6639	-0.0513	1.6639	1.2899
No log	4.7059	80	1.5073	0.1292	1.5073	1.2277
No log	4.8235	82	1.5057	0.1477	1.5057	1.2271
No log	4.9412	84	1.6460	0.1537	1.6460	1.2829
No log	5.0588	86	1.8272	0.1379	1.8272	1.3517
No log	5.1765	88	1.8576	0.1367	1.8576	1.3629
No log	5.2941	90	1.6237	0.2163	1.6237	1.2743
No log	5.4118	92	1.5985	0.2026	1.5985	1.2643
No log	5.5294	94	1.7969	0.1771	1.7969	1.3405
No log	5.6471	96	1.9635	-0.0200	1.9635	1.4013
No log	5.7647	98	1.9162	-0.0766	1.9162	1.3843
No log	5.8824	100	1.7822	0.0357	1.7822	1.3350
No log	6.0	102	1.6227	0.1656	1.6227	1.2739
No log	6.1176	104	1.6403	0.0969	1.6403	1.2807
No log	6.2353	106	1.7658	-0.0009	1.7658	1.3288
No log	6.3529	108	1.7952	0.0181	1.7952	1.3398
No log	6.4706	110	1.7833	0.0749	1.7833	1.3354
No log	6.5882	112	1.7027	0.0749	1.7027	1.3049
No log	6.7059	114	1.6791	0.0749	1.6791	1.2958
No log	6.8235	116	1.5692	0.1193	1.5692	1.2527
No log	6.9412	118	1.5476	0.0760	1.5476	1.2440
No log	7.0588	120	1.4455	0.1255	1.4455	1.2023
No log	7.1765	122	1.4469	0.0907	1.4469	1.2029
No log	7.2941	124	1.6220	0.1323	1.6220	1.2736
No log	7.4118	126	1.6811	0.0829	1.6811	1.2966
No log	7.5294	128	1.5359	0.2016	1.5359	1.2393
No log	7.6471	130	1.1755	0.2707	1.1755	1.0842
No log	7.7647	132	1.1193	0.2906	1.1193	1.0580
No log	7.8824	134	1.3122	0.2367	1.3122	1.1455
No log	8.0	136	1.5355	0.2006	1.5355	1.2392
No log	8.1176	138	1.4861	0.2317	1.4861	1.2190
No log	8.2353	140	1.3650	0.2424	1.3650	1.1683
No log	8.3529	142	1.5131	0.2058	1.5131	1.2301
No log	8.4706	144	1.5121	0.2270	1.5121	1.2297
No log	8.5882	146	1.3173	0.1562	1.3173	1.1477
No log	8.7059	148	1.3333	0.1486	1.3333	1.1547
No log	8.8235	150	1.4492	0.1814	1.4492	1.2038
No log	8.9412	152	1.5059	0.2292	1.5059	1.2272
No log	9.0588	154	1.3440	0.1486	1.3440	1.1593
No log	9.1765	156	1.1986	0.0931	1.1986	1.0948
No log	9.2941	158	1.1850	0.0931	1.1850	1.0886
No log	9.4118	160	1.2937	0.1486	1.2937	1.1374
No log	9.5294	162	1.5248	0.1955	1.5248	1.2348
No log	9.6471	164	1.4194	0.2342	1.4194	1.1914
No log	9.7647	166	1.1947	0.1628	1.1947	1.0930
No log	9.8824	168	1.1255	0.1649	1.1255	1.0609
No log	10.0	170	1.1592	0.1202	1.1592	1.0767
No log	10.1176	172	1.1977	0.1202	1.1977	1.0944
No log	10.2353	174	1.5281	0.2110	1.5281	1.2362
No log	10.3529	176	1.6108	0.1688	1.6108	1.2692
No log	10.4706	178	1.4100	0.1630	1.4100	1.1874
No log	10.5882	180	1.2376	0.1579	1.2376	1.1125
No log	10.7059	182	1.2836	0.1228	1.2836	1.1330
No log	10.8235	184	1.4999	0.2391	1.4999	1.2247
No log	10.9412	186	1.5152	0.2694	1.5152	1.2309
No log	11.0588	188	1.4173	0.2062	1.4173	1.1905
No log	11.1765	190	1.2275	0.0781	1.2275	1.1079
No log	11.2941	192	1.1713	0.0401	1.1713	1.0823
No log	11.4118	194	1.2240	0.0401	1.2240	1.1063
No log	11.5294	196	1.3159	0.1052	1.3159	1.1471
No log	11.6471	198	1.4596	0.1832	1.4596	1.2081
No log	11.7647	200	1.6607	0.1635	1.6607	1.2887
No log	11.8824	202	1.6727	0.1271	1.6727	1.2933
No log	12.0	204	1.6933	0.0807	1.6933	1.3013
No log	12.1176	206	1.7818	0.1075	1.7818	1.3348
No log	12.2353	208	1.6647	0.1729	1.6647	1.2902
No log	12.3529	210	1.4417	0.1310	1.4417	1.2007
No log	12.4706	212	1.2965	0.1052	1.2965	1.1386
No log	12.5882	214	1.2207	0.0556	1.2207	1.1048
No log	12.7059	216	1.3050	0.1407	1.3050	1.1424
No log	12.8235	218	1.4775	0.1769	1.4775	1.2155
No log	12.9412	220	1.6678	0.1607	1.6678	1.2914
No log	13.0588	222	1.7194	0.2391	1.7194	1.3113
No log	13.1765	224	1.6048	0.1769	1.6048	1.2668
No log	13.2941	226	1.4119	0.1562	1.4119	1.1882
No log	13.4118	228	1.3233	0.1202	1.3233	1.1504
No log	13.5294	230	1.3914	0.2015	1.3914	1.1796
No log	13.6471	232	1.4250	0.1703	1.4250	1.1937
No log	13.7647	234	1.4740	0.1832	1.4740	1.2141
No log	13.8824	236	1.3734	0.1703	1.3734	1.1719
No log	14.0	238	1.3462	0.2062	1.3462	1.1603
No log	14.1176	240	1.2927	0.1835	1.2927	1.1370
No log	14.2353	242	1.3602	0.2004	1.3602	1.1663
No log	14.3529	244	1.5079	0.1832	1.5079	1.2280
No log	14.4706	246	1.5987	0.2270	1.5987	1.2644
No log	14.5882	248	1.5353	0.1462	1.5353	1.2391
No log	14.7059	250	1.4060	0.1228	1.4060	1.1858
No log	14.8235	252	1.2680	0.0556	1.2680	1.1260
No log	14.9412	254	1.2128	0.0710	1.2128	1.1013
No log	15.0588	256	1.2539	0.0556	1.2539	1.1198
No log	15.1765	258	1.3794	0.1052	1.3794	1.1745
No log	15.2941	260	1.4057	0.0510	1.4057	1.1856
No log	15.4118	262	1.4154	0.1142	1.4154	1.1897
No log	15.5294	264	1.5339	0.1943	1.5339	1.2385
No log	15.6471	266	1.5234	0.2482	1.5234	1.2342
No log	15.7647	268	1.5916	0.1955	1.5916	1.2616
No log	15.8824	270	1.7899	0.1014	1.7899	1.3379
No log	16.0	272	1.8018	0.0879	1.8018	1.3423
No log	16.1176	274	1.5904	0.1388	1.5904	1.2611
No log	16.2353	276	1.4107	0.0510	1.4107	1.1877
No log	16.3529	278	1.3484	0.0278	1.3484	1.1612
No log	16.4706	280	1.2604	0.0401	1.2604	1.1227
No log	16.5882	282	1.2634	0.0401	1.2634	1.1240
No log	16.7059	284	1.3770	0.1052	1.3770	1.1735
No log	16.8235	286	1.6176	0.2437	1.6176	1.2718
No log	16.9412	288	1.7386	0.1911	1.7386	1.3186
No log	17.0588	290	1.6975	0.2006	1.6975	1.3029
No log	17.1765	292	1.6276	0.2006	1.6276	1.2758
No log	17.2941	294	1.5311	0.2170	1.5311	1.2374
No log	17.4118	296	1.3317	0.0401	1.3317	1.1540
No log	17.5294	298	1.2893	0.0	1.2893	1.1355
No log	17.6471	300	1.2873	0.0	1.2873	1.1346
No log	17.7647	302	1.2557	0.0	1.2557	1.1206
No log	17.8824	304	1.2806	0.0160	1.2806	1.1316
No log	18.0	306	1.3892	0.0401	1.3892	1.1786
No log	18.1176	308	1.5591	0.2611	1.5591	1.2487
No log	18.2353	310	1.6394	0.2221	1.6394	1.2804
No log	18.3529	312	1.7915	0.1264	1.7915	1.3385
No log	18.4706	314	1.7241	0.1264	1.7241	1.3130
No log	18.5882	316	1.5038	0.2611	1.5038	1.2263
No log	18.7059	318	1.3890	0.1370	1.3890	1.1786
No log	18.8235	320	1.4029	0.0781	1.4029	1.1844
No log	18.9412	322	1.3889	0.0401	1.3889	1.1785
No log	19.0588	324	1.3851	0.0	1.3851	1.1769
No log	19.1765	326	1.3945	0.0	1.3945	1.1809
No log	19.2941	328	1.4840	0.1052	1.4840	1.2182
No log	19.4118	330	1.6438	0.1703	1.6438	1.2821
No log	19.5294	332	1.6433	0.1298	1.6433	1.2819
No log	19.6471	334	1.6042	0.2126	1.6042	1.2666
No log	19.7647	336	1.5861	0.1562	1.5861	1.2594
No log	19.8824	338	1.5061	0.1486	1.5061	1.2272
No log	20.0	340	1.4540	0.1142	1.4540	1.2058
No log	20.1176	342	1.4318	0.1052	1.4318	1.1966
No log	20.2353	344	1.5343	0.2184	1.5343	1.2387
No log	20.3529	346	1.6128	0.2317	1.6128	1.2699
No log	20.4706	348	1.6064	0.2406	1.6064	1.2674
No log	20.5882	350	1.5060	0.3006	1.5060	1.2272
No log	20.7059	352	1.4985	0.3006	1.4985	1.2241
No log	20.8235	354	1.4809	0.2974	1.4809	1.2169
No log	20.9412	356	1.5577	0.2363	1.5577	1.2481
No log	21.0588	358	1.6146	0.2206	1.6146	1.2707
No log	21.1765	360	1.6486	0.2206	1.6486	1.2840
No log	21.2941	362	1.5752	0.2437	1.5752	1.2551
No log	21.4118	364	1.4478	0.2062	1.4478	1.2033
No log	21.5294	366	1.4855	0.2062	1.4855	1.2188
No log	21.6471	368	1.5100	0.2372	1.5100	1.2288
No log	21.7647	370	1.5795	0.1486	1.5795	1.2568
No log	21.8824	372	1.5596	0.1142	1.5596	1.2489
No log	22.0	374	1.4800	0.0401	1.4800	1.2165
No log	22.1176	376	1.5058	0.0401	1.5058	1.2271
No log	22.2353	378	1.5401	0.0878	1.5401	1.2410
No log	22.3529	380	1.5856	0.0878	1.5856	1.2592
No log	22.4706	382	1.6066	0.1562	1.6066	1.2675
No log	22.5882	384	1.5539	0.1814	1.5539	1.2465
No log	22.7059	386	1.4323	0.0401	1.4323	1.1968
No log	22.8235	388	1.4664	0.0781	1.4664	1.2109
No log	22.9412	390	1.6399	0.2004	1.6399	1.2806
No log	23.0588	392	1.7552	0.1573	1.7552	1.3248
No log	23.1765	394	1.7306	0.2342	1.7306	1.3155
No log	23.2941	396	1.5592	0.1634	1.5592	1.2487
No log	23.4118	398	1.4100	0.1288	1.4100	1.1874
No log	23.5294	400	1.4331	0.1113	1.4331	1.1971
No log	23.6471	402	1.5573	0.1880	1.5573	1.2479
No log	23.7647	404	1.7161	0.2005	1.7161	1.3100
No log	23.8824	406	1.8383	0.1279	1.8383	1.3558
No log	24.0	408	1.7874	0.1892	1.7874	1.3369
No log	24.1176	410	1.6410	0.1310	1.6410	1.2810
No log	24.2353	412	1.4747	0.0401	1.4747	1.2144
No log	24.3529	414	1.3673	0.0401	1.3673	1.1693
No log	24.4706	416	1.3678	0.0401	1.3678	1.1695
No log	24.5882	418	1.4691	0.0781	1.4691	1.2121
No log	24.7059	420	1.6057	0.1310	1.6057	1.2672
No log	24.8235	422	1.6334	0.0970	1.6334	1.2780
No log	24.9412	424	1.6869	0.0554	1.6869	1.2988
No log	25.0588	426	1.6993	0.1462	1.6993	1.3036
No log	25.1765	428	1.6813	0.2004	1.6813	1.2967
No log	25.2941	430	1.6156	0.2062	1.6156	1.2710
No log	25.4118	432	1.5345	0.1880	1.5345	1.2387
No log	25.5294	434	1.5427	0.2184	1.5427	1.2421
No log	25.6471	436	1.5656	0.1142	1.5656	1.2513
No log	25.7647	438	1.5863	0.0970	1.5863	1.2595
No log	25.8824	440	1.5905	0.0970	1.5905	1.2611
No log	26.0	442	1.5386	0.0878	1.5386	1.2404
No log	26.1176	444	1.4024	0.0401	1.4024	1.1842
No log	26.2353	446	1.2834	0.0401	1.2834	1.1329
No log	26.3529	448	1.3089	0.0401	1.3089	1.1441
No log	26.4706	450	1.3984	0.0401	1.3984	1.1825
No log	26.5882	452	1.5329	0.0781	1.5329	1.2381
No log	26.7059	454	1.7029	0.1601	1.7029	1.3050
No log	26.8235	456	1.8135	0.1718	1.8135	1.3467
No log	26.9412	458	1.8347	0.1582	1.8347	1.3545
No log	27.0588	460	1.7496	0.2206	1.7496	1.3227
No log	27.1765	462	1.7127	0.2525	1.7127	1.3087
No log	27.2941	464	1.6038	0.2568	1.6038	1.2664
No log	27.4118	466	1.5118	0.1814	1.5118	1.2295
No log	27.5294	468	1.4948	0.0401	1.4948	1.2226
No log	27.6471	470	1.5303	0.0401	1.5303	1.2371
No log	27.7647	472	1.5651	0.0401	1.5651	1.2510
No log	27.8824	474	1.6417	0.1228	1.6417	1.2813
No log	28.0	476	1.7256	0.2292	1.7256	1.3136
No log	28.1176	478	1.7427	0.2611	1.7427	1.3201
No log	28.2353	480	1.6944	0.2611	1.6944	1.3017
No log	28.3529	482	1.6585	0.2391	1.6585	1.2878
No log	28.4706	484	1.6667	0.2653	1.6667	1.2910
No log	28.5882	486	1.6771	0.1943	1.6771	1.2950
No log	28.7059	488	1.7011	0.1298	1.7011	1.3043
No log	28.8235	490	1.7033	0.0896	1.7033	1.3051
No log	28.9412	492	1.6742	0.1310	1.6742	1.2939
No log	29.0588	494	1.5713	0.0781	1.5713	1.2535
No log	29.1765	496	1.4940	0.0401	1.4940	1.2223
No log	29.2941	498	1.4486	0.1142	1.4486	1.2036
0.2647	29.4118	500	1.4531	0.1634	1.4531	1.2054
0.2647	29.5294	502	1.5616	0.2342	1.5616	1.2496
0.2647	29.6471	504	1.6245	0.2566	1.6245	1.2746
0.2647	29.7647	506	1.6412	0.2566	1.6412	1.2811
0.2647	29.8824	508	1.6653	0.2566	1.6653	1.2905
0.2647	30.0	510	1.6087	0.1729	1.6087	1.2683
0.2647	30.1176	512	1.5731	0.1634	1.5731	1.2542
0.2647	30.2353	514	1.5173	0.0401	1.5173	1.2318
0.2647	30.3529	516	1.4582	0.0401	1.4582	1.2076
0.2647	30.4706	518	1.4132	0.0401	1.4132	1.1888
0.2647	30.5882	520	1.4248	0.0781	1.4248	1.1937

Framework versions

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