ArabicNewSplits5_FineTuningAraBERT_run1_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: 0.9007
• Qwk: 0.4440
• Mse: 0.9007
• Rmse: 0.9490

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	0.0435	2	3.9079	-0.0004	3.9079	1.9768
No log	0.0870	4	1.9242	0.0594	1.9242	1.3871
No log	0.1304	6	1.2709	0.0228	1.2709	1.1273
No log	0.1739	8	1.2861	-0.0119	1.2861	1.1341
No log	0.2174	10	1.1131	0.0168	1.1131	1.0550
No log	0.2609	12	1.4534	0.0062	1.4534	1.2056
No log	0.3043	14	1.6130	0.0044	1.6130	1.2701
No log	0.3478	16	2.4023	-0.1074	2.4023	1.5499
No log	0.3913	18	1.8580	-0.0546	1.8580	1.3631
No log	0.4348	20	0.9865	0.0516	0.9865	0.9932
No log	0.4783	22	0.8442	0.1102	0.8442	0.9188
No log	0.5217	24	0.8920	0.1234	0.8920	0.9445
No log	0.5652	26	1.1489	0.0296	1.1489	1.0719
No log	0.6087	28	1.4322	0.0402	1.4322	1.1968
No log	0.6522	30	1.6283	0.0902	1.6283	1.2761
No log	0.6957	32	1.5586	0.1385	1.5586	1.2485
No log	0.7391	34	1.5629	0.1372	1.5629	1.2502
No log	0.7826	36	1.2189	0.1109	1.2189	1.1040
No log	0.8261	38	1.0270	0.1448	1.0270	1.0134
No log	0.8696	40	0.8282	0.2404	0.8282	0.9101
No log	0.9130	42	0.7782	0.2521	0.7782	0.8822
No log	0.9565	44	0.8506	0.1422	0.8506	0.9223
No log	1.0	46	0.8544	0.1353	0.8544	0.9244
No log	1.0435	48	1.0831	0.1313	1.0831	1.0407
No log	1.0870	50	1.3611	0.1630	1.3611	1.1667
No log	1.1304	52	1.2755	0.1520	1.2755	1.1294
No log	1.1739	54	1.1232	0.1418	1.1232	1.0598
No log	1.2174	56	0.8161	0.2172	0.8161	0.9034
No log	1.2609	58	0.6614	0.3878	0.6614	0.8133
No log	1.3043	60	0.6973	0.3385	0.6973	0.8350
No log	1.3478	62	0.8539	0.2356	0.8539	0.9241
No log	1.3913	64	1.3033	0.1422	1.3033	1.1416
No log	1.4348	66	1.7136	0.1300	1.7136	1.3090
No log	1.4783	68	1.8812	0.1340	1.8812	1.3716
No log	1.5217	70	1.7973	0.1527	1.7973	1.3406
No log	1.5652	72	1.6219	0.1759	1.6219	1.2735
No log	1.6087	74	1.3708	0.2307	1.3708	1.1708
No log	1.6522	76	1.1696	0.2611	1.1696	1.0815
No log	1.6957	78	1.0988	0.2190	1.0988	1.0482
No log	1.7391	80	1.0166	0.1501	1.0166	1.0083
No log	1.7826	82	0.9347	0.1740	0.9347	0.9668
No log	1.8261	84	0.8102	0.2098	0.8102	0.9001
No log	1.8696	86	0.6475	0.3649	0.6475	0.8047
No log	1.9130	88	0.6288	0.3873	0.6288	0.7930
No log	1.9565	90	0.6476	0.3816	0.6476	0.8048
No log	2.0	92	0.6383	0.3662	0.6383	0.7989
No log	2.0435	94	0.6490	0.4339	0.6490	0.8056
No log	2.0870	96	0.7540	0.3120	0.7540	0.8683
No log	2.1304	98	1.2334	0.2751	1.2334	1.1106
No log	2.1739	100	1.8931	0.1617	1.8931	1.3759
No log	2.2174	102	2.0105	0.1422	2.0105	1.4179
No log	2.2609	104	1.7890	0.1548	1.7890	1.3375
No log	2.3043	106	1.4358	0.2108	1.4358	1.1983
No log	2.3478	108	1.1186	0.2157	1.1186	1.0577
No log	2.3913	110	0.9231	0.2274	0.9231	0.9608
No log	2.4348	112	0.8098	0.2795	0.8098	0.8999
No log	2.4783	114	0.7739	0.2539	0.7739	0.8797
No log	2.5217	116	0.8155	0.2321	0.8155	0.9030
No log	2.5652	118	0.8088	0.2396	0.8088	0.8993
No log	2.6087	120	0.8334	0.2321	0.8334	0.9129
No log	2.6522	122	0.9650	0.1850	0.9650	0.9823
No log	2.6957	124	1.2025	0.1909	1.2025	1.0966
No log	2.7391	126	1.3128	0.1836	1.3128	1.1458
No log	2.7826	128	1.3669	0.2575	1.3669	1.1691
No log	2.8261	130	1.5475	0.1910	1.5475	1.2440
No log	2.8696	132	1.5569	0.2320	1.5569	1.2478
No log	2.9130	134	1.4281	0.2456	1.4281	1.1950
No log	2.9565	136	1.1143	0.3038	1.1143	1.0556
No log	3.0	138	0.9047	0.3329	0.9047	0.9512
No log	3.0435	140	0.8251	0.3174	0.8251	0.9084
No log	3.0870	142	0.8624	0.2989	0.8624	0.9286
No log	3.1304	144	0.8582	0.3105	0.8582	0.9264
No log	3.1739	146	0.7860	0.3030	0.7860	0.8866
No log	3.2174	148	0.7356	0.3519	0.7356	0.8577
No log	3.2609	150	0.7366	0.3847	0.7366	0.8583
No log	3.3043	152	0.7807	0.3400	0.7807	0.8836
No log	3.3478	154	0.9662	0.3307	0.9662	0.9829
No log	3.3913	156	1.1602	0.3030	1.1602	1.0771
No log	3.4348	158	1.3806	0.2920	1.3806	1.1750
No log	3.4783	160	1.3918	0.3078	1.3918	1.1798
No log	3.5217	162	1.0969	0.3481	1.0969	1.0473
No log	3.5652	164	0.8933	0.4544	0.8933	0.9452
No log	3.6087	166	0.7933	0.4587	0.7933	0.8907
No log	3.6522	168	0.7702	0.4633	0.7702	0.8776
No log	3.6957	170	0.8325	0.4123	0.8325	0.9124
No log	3.7391	172	0.9009	0.3546	0.9009	0.9491
No log	3.7826	174	0.8362	0.3927	0.8362	0.9144
No log	3.8261	176	0.8029	0.4041	0.8029	0.8961
No log	3.8696	178	0.8180	0.4041	0.8180	0.9045
No log	3.9130	180	0.8451	0.4084	0.8451	0.9193
No log	3.9565	182	0.8451	0.4069	0.8451	0.9193
No log	4.0	184	0.8271	0.4134	0.8271	0.9094
No log	4.0435	186	0.7722	0.3964	0.7722	0.8788
No log	4.0870	188	0.7702	0.4200	0.7702	0.8776
No log	4.1304	190	0.8781	0.4080	0.8781	0.9371
No log	4.1739	192	1.1282	0.3286	1.1282	1.0622
No log	4.2174	194	1.3333	0.3408	1.3333	1.1547
No log	4.2609	196	1.3292	0.3083	1.3292	1.1529
No log	4.3043	198	1.1374	0.3027	1.1374	1.0665
No log	4.3478	200	0.8900	0.3300	0.8900	0.9434
No log	4.3913	202	0.8176	0.4555	0.8176	0.9042
No log	4.4348	204	0.8508	0.3995	0.8508	0.9224
No log	4.4783	206	0.9739	0.3360	0.9739	0.9869
No log	4.5217	208	1.0747	0.3440	1.0747	1.0367
No log	4.5652	210	1.0831	0.3440	1.0831	1.0407
No log	4.6087	212	1.1552	0.3077	1.1552	1.0748
No log	4.6522	214	1.0533	0.3566	1.0533	1.0263
No log	4.6957	216	0.9982	0.3115	0.9982	0.9991
No log	4.7391	218	0.9395	0.3214	0.9395	0.9693
No log	4.7826	220	0.8412	0.3805	0.8412	0.9172
No log	4.8261	222	0.8005	0.4165	0.8005	0.8947
No log	4.8696	224	0.8202	0.4167	0.8202	0.9056
No log	4.9130	226	0.9160	0.4015	0.9160	0.9571
No log	4.9565	228	1.1326	0.3069	1.1326	1.0642
No log	5.0	230	1.3979	0.3229	1.3979	1.1823
No log	5.0435	232	1.4367	0.2936	1.4367	1.1986
No log	5.0870	234	1.2675	0.2968	1.2675	1.1258
No log	5.1304	236	1.0260	0.3443	1.0260	1.0129
No log	5.1739	238	0.8860	0.4211	0.8860	0.9413
No log	5.2174	240	0.8443	0.4492	0.8443	0.9188
No log	5.2609	242	0.8459	0.4342	0.8459	0.9197
No log	5.3043	244	0.8726	0.4041	0.8726	0.9341
No log	5.3478	246	0.9459	0.3840	0.9459	0.9726
No log	5.3913	248	1.0024	0.3608	1.0024	1.0012
No log	5.4348	250	1.0882	0.3214	1.0882	1.0431
No log	5.4783	252	1.2802	0.3058	1.2802	1.1314
No log	5.5217	254	1.4953	0.2626	1.4953	1.2228
No log	5.5652	256	1.5808	0.2214	1.5808	1.2573
No log	5.6087	258	1.4570	0.2787	1.4570	1.2071
No log	5.6522	260	1.2560	0.3471	1.2560	1.1207
No log	5.6957	262	1.0595	0.3760	1.0595	1.0293
No log	5.7391	264	0.9782	0.4079	0.9782	0.9890
No log	5.7826	266	0.9916	0.4046	0.9916	0.9958
No log	5.8261	268	1.1054	0.3608	1.1054	1.0514
No log	5.8696	270	1.2279	0.3260	1.2279	1.1081
No log	5.9130	272	1.3065	0.2777	1.3065	1.1430
No log	5.9565	274	1.3888	0.2873	1.3888	1.1785
No log	6.0	276	1.3467	0.2851	1.3467	1.1605
No log	6.0435	278	1.2174	0.2789	1.2174	1.1033
No log	6.0870	280	1.0686	0.3334	1.0686	1.0338
No log	6.1304	282	0.9469	0.3890	0.9469	0.9731
No log	6.1739	284	0.9134	0.4056	0.9134	0.9557
No log	6.2174	286	0.9111	0.4521	0.9111	0.9545
No log	6.2609	288	0.9528	0.4253	0.9528	0.9761
No log	6.3043	290	0.9751	0.3878	0.9751	0.9875
No log	6.3478	292	0.9716	0.3560	0.9716	0.9857
No log	6.3913	294	0.9610	0.3789	0.9610	0.9803
No log	6.4348	296	0.9775	0.3882	0.9775	0.9887
No log	6.4783	298	1.0318	0.3654	1.0318	1.0158
No log	6.5217	300	1.1199	0.3363	1.1199	1.0583
No log	6.5652	302	1.1401	0.3297	1.1401	1.0677
No log	6.6087	304	1.0634	0.3614	1.0634	1.0312
No log	6.6522	306	0.9668	0.3578	0.9668	0.9833
No log	6.6957	308	0.8815	0.4014	0.8815	0.9389
No log	6.7391	310	0.8348	0.4150	0.8348	0.9137
No log	6.7826	312	0.8355	0.4015	0.8355	0.9140
No log	6.8261	314	0.8826	0.4075	0.8826	0.9395
No log	6.8696	316	0.9659	0.4136	0.9659	0.9828
No log	6.9130	318	1.0000	0.3935	1.0000	1.0000
No log	6.9565	320	0.9780	0.3923	0.9780	0.9889
No log	7.0	322	0.9187	0.4220	0.9187	0.9585
No log	7.0435	324	0.8857	0.3954	0.8857	0.9411
No log	7.0870	326	0.8889	0.4024	0.8889	0.9428
No log	7.1304	328	0.8997	0.4165	0.8997	0.9485
No log	7.1739	330	0.9091	0.4011	0.9091	0.9535
No log	7.2174	332	0.9266	0.4030	0.9266	0.9626
No log	7.2609	334	0.9097	0.4081	0.9097	0.9538
No log	7.3043	336	0.9135	0.4030	0.9135	0.9557
No log	7.3478	338	0.9087	0.4030	0.9087	0.9532
No log	7.3913	340	0.9128	0.4149	0.9128	0.9554
No log	7.4348	342	0.9292	0.4044	0.9292	0.9640
No log	7.4783	344	0.9318	0.4080	0.9318	0.9653
No log	7.5217	346	0.9155	0.3984	0.9155	0.9568
No log	7.5652	348	0.8899	0.4147	0.8899	0.9433
No log	7.6087	350	0.8565	0.3964	0.8565	0.9255
No log	7.6522	352	0.8285	0.4081	0.8285	0.9102
No log	7.6957	354	0.8230	0.4725	0.8230	0.9072
No log	7.7391	356	0.8390	0.4461	0.8390	0.9159
No log	7.7826	358	0.8609	0.4626	0.8609	0.9279
No log	7.8261	360	0.8967	0.4410	0.8967	0.9470
No log	7.8696	362	0.9201	0.4072	0.9201	0.9592
No log	7.9130	364	0.9411	0.3970	0.9411	0.9701
No log	7.9565	366	0.9391	0.3970	0.9391	0.9691
No log	8.0	368	0.9230	0.4072	0.9230	0.9607
No log	8.0435	370	0.9124	0.4072	0.9124	0.9552
No log	8.0870	372	0.9203	0.4072	0.9203	0.9593
No log	8.1304	374	0.9145	0.4198	0.9145	0.9563
No log	8.1739	376	0.9036	0.4198	0.9036	0.9506
No log	8.2174	378	0.9123	0.4198	0.9123	0.9551
No log	8.2609	380	0.9360	0.3970	0.9360	0.9675
No log	8.3043	382	0.9679	0.4009	0.9679	0.9838
No log	8.3478	384	0.9650	0.4009	0.9650	0.9823
No log	8.3913	386	0.9660	0.4009	0.9660	0.9829
No log	8.4348	388	0.9511	0.3989	0.9511	0.9753
No log	8.4783	390	0.9428	0.4072	0.9428	0.9710
No log	8.5217	392	0.9398	0.4198	0.9398	0.9694
No log	8.5652	394	0.9265	0.4198	0.9265	0.9626
No log	8.6087	396	0.9281	0.4198	0.9281	0.9634
No log	8.6522	398	0.9246	0.4372	0.9246	0.9615
No log	8.6957	400	0.9129	0.4425	0.9129	0.9555
No log	8.7391	402	0.9059	0.4425	0.9059	0.9518
No log	8.7826	404	0.9020	0.4425	0.9020	0.9497
No log	8.8261	406	0.8980	0.4372	0.8980	0.9476
No log	8.8696	408	0.8948	0.4074	0.8948	0.9460
No log	8.9130	410	0.8933	0.3891	0.8933	0.9451
No log	8.9565	412	0.9007	0.3806	0.9007	0.9491
No log	9.0	414	0.9196	0.3902	0.9196	0.9590
No log	9.0435	416	0.9457	0.3870	0.9457	0.9725
No log	9.0870	418	0.9712	0.4170	0.9712	0.9855
No log	9.1304	420	0.9762	0.4170	0.9762	0.9880
No log	9.1739	422	0.9679	0.4204	0.9679	0.9838
No log	9.2174	424	0.9520	0.4187	0.9520	0.9757
No log	9.2609	426	0.9336	0.3976	0.9336	0.9662
No log	9.3043	428	0.9140	0.3795	0.9140	0.9560
No log	9.3478	430	0.8992	0.4179	0.8992	0.9483
No log	9.3913	432	0.8904	0.4462	0.8904	0.9436
No log	9.4348	434	0.8849	0.4319	0.8849	0.9407
No log	9.4783	436	0.8825	0.4247	0.8825	0.9394
No log	9.5217	438	0.8820	0.4175	0.8820	0.9391
No log	9.5652	440	0.8846	0.4175	0.8846	0.9405
No log	9.6087	442	0.8869	0.4175	0.8869	0.9417
No log	9.6522	444	0.8877	0.4175	0.8877	0.9422
No log	9.6957	446	0.8890	0.4247	0.8890	0.9429
No log	9.7391	448	0.8899	0.4319	0.8899	0.9434
No log	9.7826	450	0.8923	0.4319	0.8923	0.9446
No log	9.8261	452	0.8953	0.4336	0.8953	0.9462
No log	9.8696	454	0.8968	0.4336	0.8968	0.9470
No log	9.9130	456	0.8988	0.4336	0.8988	0.9481
No log	9.9565	458	0.9002	0.4302	0.9002	0.9488
No log	10.0	460	0.9007	0.4440	0.9007	0.9490

Framework versions

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