Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0952	2	4.4943	0.0022	4.4943	2.1200
No log	0.1905	4	2.7228	0.0717	2.7228	1.6501
No log	0.2857	6	1.6621	0.1535	1.6621	1.2892
No log	0.3810	8	1.1718	0.1091	1.1718	1.0825
No log	0.4762	10	1.0581	0.2960	1.0581	1.0286
No log	0.5714	12	0.9808	0.3669	0.9808	0.9903
No log	0.6667	14	1.0000	0.2860	1.0000	1.0000
No log	0.7619	16	1.1508	0.1491	1.1508	1.0728
No log	0.8571	18	1.4508	0.0233	1.4508	1.2045
No log	0.9524	20	1.5888	0.0104	1.5888	1.2605
No log	1.0476	22	1.4118	0.0	1.4118	1.1882
No log	1.1429	24	1.1744	0.0867	1.1744	1.0837
No log	1.2381	26	1.0635	0.1255	1.0635	1.0313
No log	1.3333	28	1.0355	0.2853	1.0355	1.0176
No log	1.4286	30	1.1528	0.1768	1.1528	1.0737
No log	1.5238	32	1.1322	0.1149	1.1322	1.0641
No log	1.6190	34	1.2565	-0.0008	1.2565	1.1210
No log	1.7143	36	1.1671	0.0380	1.1671	1.0803
No log	1.8095	38	1.0433	0.2882	1.0433	1.0214
No log	1.9048	40	1.0135	0.2982	1.0135	1.0067
No log	2.0	42	1.0199	0.2339	1.0199	1.0099
No log	2.0952	44	1.0172	0.4086	1.0172	1.0086
No log	2.1905	46	1.0006	0.4515	1.0006	1.0003
No log	2.2857	48	0.9746	0.3509	0.9746	0.9872
No log	2.3810	50	1.0212	0.2727	1.0212	1.0105
No log	2.4762	52	0.9828	0.2681	0.9828	0.9914
No log	2.5714	54	0.9102	0.3170	0.9102	0.9540
No log	2.6667	56	0.8696	0.3616	0.8696	0.9325
No log	2.7619	58	0.8623	0.3631	0.8623	0.9286
No log	2.8571	60	0.8514	0.3432	0.8514	0.9227
No log	2.9524	62	0.8474	0.3793	0.8474	0.9205
No log	3.0476	64	0.8579	0.3807	0.8579	0.9262
No log	3.1429	66	0.8736	0.4493	0.8736	0.9347
No log	3.2381	68	0.9419	0.3848	0.9419	0.9705
No log	3.3333	70	1.0796	0.2405	1.0796	1.0390
No log	3.4286	72	1.0983	0.2093	1.0983	1.0480
No log	3.5238	74	1.0241	0.3500	1.0241	1.0120
No log	3.6190	76	0.9717	0.4735	0.9717	0.9857
No log	3.7143	78	1.0379	0.3186	1.0379	1.0188
No log	3.8095	80	1.1799	0.1971	1.1799	1.0862
No log	3.9048	82	1.2941	0.2041	1.2941	1.1376
No log	4.0	84	1.2952	0.3087	1.2952	1.1381
No log	4.0952	86	1.2450	0.4148	1.2450	1.1158
No log	4.1905	88	1.1078	0.4293	1.1078	1.0525
No log	4.2857	90	1.0492	0.3804	1.0492	1.0243
No log	4.3810	92	1.1133	0.4117	1.1133	1.0551
No log	4.4762	94	1.2978	0.3753	1.2978	1.1392
No log	4.5714	96	1.5729	0.3535	1.5729	1.2542
No log	4.6667	98	1.6631	0.3824	1.6631	1.2896
No log	4.7619	100	1.6463	0.3582	1.6463	1.2831
No log	4.8571	102	1.5134	0.3437	1.5134	1.2302
No log	4.9524	104	1.3158	0.4261	1.3158	1.1471
No log	5.0476	106	1.2711	0.4458	1.2711	1.1274
No log	5.1429	108	1.3676	0.4061	1.3676	1.1694
No log	5.2381	110	1.5813	0.3535	1.5813	1.2575
No log	5.3333	112	1.6820	0.3088	1.6820	1.2969
No log	5.4286	114	1.6514	0.3559	1.6514	1.2851
No log	5.5238	116	1.4974	0.3565	1.4974	1.2237
No log	5.6190	118	1.2878	0.4102	1.2878	1.1348
No log	5.7143	120	1.2435	0.4017	1.2435	1.1151
No log	5.8095	122	1.3460	0.4119	1.3460	1.1602
No log	5.9048	124	1.5143	0.3580	1.5143	1.2305
No log	6.0	126	1.6101	0.3284	1.6101	1.2689
No log	6.0952	128	1.6663	0.2889	1.6663	1.2908
No log	6.1905	130	1.8012	0.2530	1.8012	1.3421
No log	6.2857	132	1.8771	0.2351	1.8771	1.3701
No log	6.3810	134	1.9664	0.2090	1.9664	1.4023
No log	6.4762	136	1.9018	0.2274	1.9018	1.3791
No log	6.5714	138	1.7819	0.3129	1.7819	1.3349
No log	6.6667	140	1.8366	0.2622	1.8366	1.3552
No log	6.7619	142	1.9405	0.2516	1.9405	1.3930
No log	6.8571	144	2.1230	0.1783	2.1230	1.4571
No log	6.9524	146	2.1997	0.1597	2.1997	1.4831
No log	7.0476	148	2.1741	0.1597	2.1741	1.4745
No log	7.1429	150	2.0437	0.2105	2.0437	1.4296
No log	7.2381	152	1.8086	0.3464	1.8086	1.3449
No log	7.3333	154	1.6825	0.3406	1.6825	1.2971
No log	7.4286	156	1.6911	0.3406	1.6911	1.3004
No log	7.5238	158	1.7776	0.3464	1.7776	1.3333
No log	7.6190	160	1.9091	0.3021	1.9091	1.3817
No log	7.7143	162	2.0305	0.2105	2.0305	1.4250
No log	7.8095	164	2.1285	0.1783	2.1285	1.4590
No log	7.9048	166	2.1599	0.1825	2.1599	1.4697
No log	8.0	168	2.1293	0.1783	2.1293	1.4592
No log	8.0952	170	2.0716	0.1951	2.0716	1.4393
No log	8.1905	172	2.0088	0.2065	2.0088	1.4173
No log	8.2857	174	1.9443	0.2065	1.9443	1.3944
No log	8.3810	176	1.8592	0.2970	1.8592	1.3635
No log	8.4762	178	1.8568	0.2992	1.8568	1.3626
No log	8.5714	180	1.8326	0.3050	1.8326	1.3537
No log	8.6667	182	1.8318	0.3050	1.8318	1.3534
No log	8.7619	184	1.8858	0.3021	1.8858	1.3732
No log	8.8571	186	1.9412	0.2397	1.9412	1.3933
No log	8.9524	188	1.9886	0.2285	1.9886	1.4102
No log	9.0476	190	2.0112	0.2322	2.0112	1.4182
No log	9.1429	192	2.0153	0.2322	2.0153	1.4196
No log	9.2381	194	1.9945	0.2341	1.9945	1.4123
No log	9.3333	196	1.9822	0.2601	1.9822	1.4079
No log	9.4286	198	1.9851	0.2601	1.9851	1.4089
No log	9.5238	200	2.0011	0.2405	2.0011	1.4146
No log	9.6190	202	2.0159	0.2378	2.0159	1.4198
No log	9.7143	204	2.0174	0.2378	2.0174	1.4204
No log	9.8095	206	2.0168	0.2378	2.0168	1.4201
No log	9.9048	208	2.0157	0.2405	2.0157	1.4198
No log	10.0	210	2.0167	0.2378	2.0167	1.4201

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits_FineTuningAraBERT_AugV5_k4_task1_organization_fold0

ArabicNewSplits_FineTuningAraBERT_AugV5_k4_task1_organization_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits_FineTuningAraBERT_AugV5_k4_task1_organization_fold0