ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_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: 1.4861
• Qwk: 0.1142
• Mse: 1.4861
• Rmse: 1.2191

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	0.9953	0.2547	0.9953	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	1.5056	0.1477	1.5056	1.2270
No log	4.9412	84	1.6459	0.1537	1.6459	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	1.7028	0.0749	1.7028	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	1.5360	0.2016	1.5360	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	1.3123	0.2367	1.3123	1.1455
No log	8.0	136	1.5355	0.2006	1.5355	1.2391
No log	8.1176	138	1.4860	0.2317	1.4860	1.2190
No log	8.2353	140	1.3650	0.2424	1.3650	1.1684
No log	8.3529	142	1.5132	0.2058	1.5132	1.2301
No log	8.4706	144	1.5122	0.2270	1.5122	1.2297
No log	8.5882	146	1.3174	0.1562	1.3174	1.1478
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	1.5060	0.2292	1.5060	1.2272
No log	9.0588	154	1.3441	0.1486	1.3441	1.1593
No log	9.1765	156	1.1987	0.0931	1.1987	1.0948
No log	9.2941	158	1.1851	0.0931	1.1851	1.0886
No log	9.4118	160	1.2936	0.1486	1.2936	1.1374
No log	9.5294	162	1.5246	0.1955	1.5246	1.2348
No log	9.6471	164	1.4191	0.2342	1.4191	1.1913
No log	9.7647	166	1.1947	0.1628	1.1947	1.0930
No log	9.8824	168	1.1253	0.1649	1.1253	1.0608
No log	10.0	170	1.1590	0.1202	1.1590	1.0766
No log	10.1176	172	1.1978	0.1202	1.1978	1.0944
No log	10.2353	174	1.5283	0.2110	1.5283	1.2363
No log	10.3529	176	1.6111	0.1688	1.6111	1.2693
No log	10.4706	178	1.4101	0.1630	1.4101	1.1875
No log	10.5882	180	1.2374	0.1579	1.2374	1.1124
No log	10.7059	182	1.2832	0.1228	1.2832	1.1328
No log	10.8235	184	1.4997	0.2391	1.4997	1.2246
No log	10.9412	186	1.5154	0.2694	1.5154	1.2310
No log	11.0588	188	1.4177	0.2062	1.4177	1.1907
No log	11.1765	190	1.2278	0.0781	1.2278	1.1081
No log	11.2941	192	1.1712	0.0401	1.1712	1.0822
No log	11.4118	194	1.2237	0.0401	1.2237	1.1062
No log	11.5294	196	1.3157	0.1052	1.3157	1.1470
No log	11.6471	198	1.4597	0.1832	1.4597	1.2082
No log	11.7647	200	1.6614	0.1279	1.6614	1.2890
No log	11.8824	202	1.6737	0.1271	1.6737	1.2937
No log	12.0	204	1.6937	0.0807	1.6937	1.3014
No log	12.1176	206	1.7821	0.1075	1.7821	1.3350
No log	12.2353	208	1.6655	0.1729	1.6655	1.2906
No log	12.3529	210	1.4429	0.1310	1.4429	1.2012
No log	12.4706	212	1.2979	0.1052	1.2979	1.1392
No log	12.5882	214	1.2216	0.0556	1.2216	1.1053
No log	12.7059	216	1.3057	0.1407	1.3057	1.1427
No log	12.8235	218	1.4777	0.1769	1.4777	1.2156
No log	12.9412	220	1.6672	0.1607	1.6672	1.2912
No log	13.0588	222	1.7183	0.2391	1.7183	1.3108
No log	13.1765	224	1.6031	0.1769	1.6031	1.2661
No log	13.2941	226	1.4100	0.1562	1.4100	1.1874
No log	13.4118	228	1.3224	0.1202	1.3224	1.1499
No log	13.5294	230	1.3912	0.2015	1.3912	1.1795
No log	13.6471	232	1.4244	0.1703	1.4244	1.1935
No log	13.7647	234	1.4718	0.1832	1.4718	1.2132
No log	13.8824	236	1.3715	0.1703	1.3715	1.1711
No log	14.0	238	1.3466	0.2062	1.3466	1.1604
No log	14.1176	240	1.2964	0.1898	1.2964	1.1386
No log	14.2353	242	1.3622	0.2004	1.3622	1.1671
No log	14.3529	244	1.5037	0.1832	1.5037	1.2263
No log	14.4706	246	1.5910	0.2270	1.5910	1.2614
No log	14.5882	248	1.5303	0.1462	1.5303	1.2370
No log	14.7059	250	1.4031	0.1228	1.4031	1.1845
No log	14.8235	252	1.2667	0.0556	1.2667	1.1255
No log	14.9412	254	1.2120	0.0710	1.2120	1.1009
No log	15.0588	256	1.2535	0.0556	1.2535	1.1196
No log	15.1765	258	1.3798	0.0401	1.3798	1.1747
No log	15.2941	260	1.4076	0.0510	1.4076	1.1864
No log	15.4118	262	1.4174	0.1142	1.4174	1.1905
No log	15.5294	264	1.5332	0.1943	1.5332	1.2382
No log	15.6471	266	1.5172	0.2482	1.5172	1.2317
No log	15.7647	268	1.5823	0.1955	1.5823	1.2579
No log	15.8824	270	1.7830	0.1525	1.7830	1.3353
No log	16.0	272	1.7985	0.0879	1.7985	1.3411
No log	16.1176	274	1.5882	0.1388	1.5882	1.2602
No log	16.2353	276	1.4078	0.0510	1.4078	1.1865
No log	16.3529	278	1.3474	0.0033	1.3474	1.1608
No log	16.4706	280	1.2622	0.0401	1.2622	1.1235
No log	16.5882	282	1.2654	0.0401	1.2654	1.1249
No log	16.7059	284	1.3802	0.1052	1.3802	1.1748
No log	16.8235	286	1.6193	0.2437	1.6193	1.2725
No log	16.9412	288	1.7374	0.1911	1.7374	1.3181
No log	17.0588	290	1.6913	0.2006	1.6913	1.3005
No log	17.1765	292	1.6413	0.2006	1.6413	1.2811
No log	17.2941	294	1.5532	0.2170	1.5532	1.2463
No log	17.4118	296	1.3452	0.0781	1.3452	1.1598
No log	17.5294	298	1.3007	0.0	1.3007	1.1405
No log	17.6471	300	1.2988	0.0	1.2988	1.1397
No log	17.7647	302	1.2591	0.0	1.2591	1.1221
No log	17.8824	304	1.2791	0.0160	1.2791	1.1310
No log	18.0	306	1.3875	0.0401	1.3875	1.1779
No log	18.1176	308	1.5602	0.2611	1.5602	1.2491
No log	18.2353	310	1.6388	0.2221	1.6388	1.2802
No log	18.3529	312	1.7836	0.1264	1.7836	1.3355
No log	18.4706	314	1.7197	0.1264	1.7197	1.3114
No log	18.5882	316	1.5182	0.2611	1.5182	1.2321
No log	18.7059	318	1.4048	0.1952	1.4048	1.1853
No log	18.8235	320	1.4003	0.0781	1.4003	1.1833
No log	18.9412	322	1.3703	0.0401	1.3703	1.1706
No log	19.0588	324	1.3767	0.0	1.3767	1.1733
No log	19.1765	326	1.3985	0.0	1.3985	1.1826
No log	19.2941	328	1.4874	0.1407	1.4874	1.2196
No log	19.4118	330	1.6444	0.1814	1.6444	1.2823
No log	19.5294	332	1.6563	0.1298	1.6563	1.2870
No log	19.6471	334	1.6312	0.1703	1.6312	1.2772
No log	19.7647	336	1.6054	0.1562	1.6055	1.2671
No log	19.8824	338	1.5106	0.0878	1.5106	1.2291
No log	20.0	340	1.4483	0.0510	1.4483	1.2035
No log	20.1176	342	1.4211	0.1142	1.4211	1.1921
No log	20.2353	344	1.5167	0.2184	1.5167	1.2315
No log	20.3529	346	1.5963	0.2317	1.5963	1.2634
No log	20.4706	348	1.6099	0.2406	1.6099	1.2688
No log	20.5882	350	1.5249	0.2681	1.5249	1.2349
No log	20.7059	352	1.5297	0.2681	1.5297	1.2368
No log	20.8235	354	1.5158	0.2681	1.5158	1.2312
No log	20.9412	356	1.5906	0.2681	1.5906	1.2612
No log	21.0588	358	1.6443	0.2527	1.6443	1.2823
No log	21.1765	360	1.6721	0.2527	1.6721	1.2931
No log	21.2941	362	1.5967	0.2206	1.5967	1.2636
No log	21.4118	364	1.4614	0.2437	1.4614	1.2089
No log	21.5294	366	1.4961	0.2170	1.4961	1.2232
No log	21.6471	368	1.4848	0.2292	1.4848	1.2185
No log	21.7647	370	1.5801	0.2342	1.5801	1.2570
No log	21.8824	372	1.5879	0.1943	1.5879	1.2601
No log	22.0	374	1.5162	0.1052	1.5162	1.2313
No log	22.1176	376	1.5481	0.1142	1.5481	1.2442
No log	22.2353	378	1.5695	0.0510	1.5695	1.2528
No log	22.3529	380	1.5834	0.0970	1.5834	1.2583
No log	22.4706	382	1.5979	0.0510	1.5979	1.2641
No log	22.5882	384	1.5950	0.1142	1.5950	1.2629
No log	22.7059	386	1.5488	0.1486	1.5488	1.2445
No log	22.8235	388	1.6250	0.1880	1.6250	1.2748
No log	22.9412	390	1.7648	0.1950	1.7648	1.3285
No log	23.0588	392	1.8064	0.2206	1.8064	1.3440
No log	23.1765	394	1.7123	0.2653	1.7123	1.3085
No log	23.2941	396	1.4585	0.1700	1.4585	1.2077
No log	23.4118	398	1.3360	0.0987	1.3360	1.1558
No log	23.5294	400	1.3966	0.0556	1.3966	1.1818
No log	23.6471	402	1.5623	0.1634	1.5623	1.2499
No log	23.7647	404	1.7190	0.2568	1.7190	1.3111
No log	23.8824	406	1.7965	0.1573	1.7965	1.3403
No log	24.0	408	1.7350	0.1601	1.7350	1.3172
No log	24.1176	410	1.5817	0.1228	1.5817	1.2577
No log	24.2353	412	1.4164	0.0401	1.4164	1.1901
No log	24.3529	414	1.3343	0.0401	1.3343	1.1551
No log	24.4706	416	1.3441	0.0401	1.3441	1.1593
No log	24.5882	418	1.4325	0.0401	1.4325	1.1969
No log	24.7059	420	1.5817	0.0970	1.5817	1.2577
No log	24.8235	422	1.6954	0.1562	1.6954	1.3021
No log	24.9412	424	1.7917	0.1667	1.7917	1.3385
No log	25.0588	426	1.7966	0.1950	1.7966	1.3404
No log	25.1765	428	1.7296	0.2568	1.7296	1.3152
No log	25.2941	430	1.6225	0.2522	1.6225	1.2738
No log	25.4118	432	1.4919	0.1880	1.4919	1.2214
No log	25.5294	434	1.4783	0.1562	1.4783	1.2159
No log	25.6471	436	1.5506	0.0878	1.5506	1.2452
No log	25.7647	438	1.6538	0.0970	1.6538	1.2860
No log	25.8824	440	1.7110	0.1063	1.7110	1.3081
No log	26.0	442	1.6976	0.2292	1.6976	1.3029
No log	26.1176	444	1.5573	0.2184	1.5573	1.2479
No log	26.2353	446	1.3939	0.1880	1.3939	1.1806
No log	26.3529	448	1.4228	0.2184	1.4228	1.1928
No log	26.4706	450	1.5248	0.2184	1.5248	1.2348
No log	26.5882	452	1.6577	0.2004	1.6577	1.2875
No log	26.7059	454	1.7931	0.1847	1.7931	1.3391
No log	26.8235	456	1.8553	0.1525	1.8553	1.3621
No log	26.9412	458	1.7936	0.1718	1.7936	1.3393
No log	27.0588	460	1.6629	0.2940	1.6629	1.2895
No log	27.1765	462	1.6587	0.2940	1.6587	1.2879
No log	27.2941	464	1.5997	0.2342	1.5997	1.2648
No log	27.4118	466	1.5417	0.1744	1.5417	1.2416
No log	27.5294	468	1.5366	0.1407	1.5366	1.2396
No log	27.6471	470	1.5541	0.0401	1.5541	1.2467
No log	27.7647	472	1.5626	0.0401	1.5626	1.2501
No log	27.8824	474	1.6349	0.1562	1.6349	1.2786
No log	28.0	476	1.7171	0.2474	1.7171	1.3104
No log	28.1176	478	1.7281	0.2342	1.7281	1.3146
No log	28.2353	480	1.6474	0.2474	1.6474	1.2835
No log	28.3529	482	1.5790	0.2474	1.5790	1.2566
No log	28.4706	484	1.5663	0.2474	1.5663	1.2515
No log	28.5882	486	1.6254	0.2342	1.6254	1.2749
No log	28.7059	488	1.7253	0.2694	1.7253	1.3135
No log	28.8235	490	1.7557	0.2566	1.7557	1.3250
No log	28.9412	492	1.6999	0.2694	1.6999	1.3038
No log	29.0588	494	1.5677	0.2126	1.5677	1.2521
No log	29.1765	496	1.4531	0.1407	1.4531	1.2055
No log	29.2941	498	1.4128	0.1744	1.4128	1.1886
0.2641	29.4118	500	1.4256	0.1744	1.4256	1.1940
0.2641	29.5294	502	1.5205	0.2342	1.5205	1.2331
0.2641	29.6471	504	1.5758	0.2391	1.5758	1.2553
0.2641	29.7647	506	1.5918	0.2653	1.5918	1.2617
0.2641	29.8824	508	1.5471	0.2611	1.5471	1.2438
0.2641	30.0	510	1.4685	0.2184	1.4685	1.2118
0.2641	30.1176	512	1.4917	0.1634	1.4917	1.2214
0.2641	30.2353	514	1.5360	0.1142	1.5360	1.2394
0.2641	30.3529	516	1.5305	0.1142	1.5305	1.2371
0.2641	30.4706	518	1.5013	0.0401	1.5013	1.2253
0.2641	30.5882	520	1.4861	0.1142	1.4861	1.2191

Framework versions

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