Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1111	2	4.7038	-0.0116	4.7038	2.1688
No log	0.2222	4	3.1598	0.0340	3.1598	1.7776
No log	0.3333	6	1.9153	0.1619	1.9153	1.3839
No log	0.4444	8	1.2836	-0.0423	1.2836	1.1330
No log	0.5556	10	1.2134	0.1989	1.2134	1.1015
No log	0.6667	12	1.1772	0.2703	1.1772	1.0850
No log	0.7778	14	1.2619	0.2069	1.2619	1.1234
No log	0.8889	16	1.2799	0.1946	1.2799	1.1313
No log	1.0	18	1.2752	0.1738	1.2752	1.1293
No log	1.1111	20	1.2833	0.1802	1.2833	1.1328
No log	1.2222	22	1.2372	0.2414	1.2372	1.1123
No log	1.3333	24	1.1113	0.3250	1.1113	1.0542
No log	1.4444	26	1.0141	0.3848	1.0141	1.0070
No log	1.5556	28	1.0342	0.4566	1.0342	1.0169
No log	1.6667	30	1.1071	0.2929	1.1071	1.0522
No log	1.7778	32	1.1180	0.25	1.1180	1.0574
No log	1.8889	34	1.0893	0.4332	1.0893	1.0437
No log	2.0	36	1.0676	0.3393	1.0676	1.0333
No log	2.1111	38	1.0656	0.1984	1.0656	1.0323
No log	2.2222	40	1.1436	0.1402	1.1436	1.0694
No log	2.3333	42	1.1432	0.1402	1.1432	1.0692
No log	2.4444	44	1.0718	0.1984	1.0718	1.0353
No log	2.5556	46	1.0518	0.3571	1.0518	1.0255
No log	2.6667	48	1.1607	0.2340	1.1607	1.0774
No log	2.7778	50	1.3176	0.1189	1.3176	1.1479
No log	2.8889	52	1.4139	0.1189	1.4139	1.1891
No log	3.0	54	1.3914	0.1189	1.3914	1.1796
No log	3.1111	56	1.2678	0.1947	1.2678	1.1260
No log	3.2222	58	1.1525	0.3710	1.1525	1.0736
No log	3.3333	60	1.0804	0.2964	1.0804	1.0394
No log	3.4444	62	1.0573	0.2964	1.0573	1.0282
No log	3.5556	64	0.9855	0.4044	0.9855	0.9927
No log	3.6667	66	0.9143	0.4627	0.9143	0.9562
No log	3.7778	68	0.9079	0.4627	0.9079	0.9528
No log	3.8889	70	0.9361	0.4054	0.9361	0.9675
No log	4.0	72	0.9336	0.4239	0.9336	0.9662
No log	4.1111	74	0.9025	0.4580	0.9025	0.9500
No log	4.2222	76	0.8773	0.3690	0.8773	0.9366
No log	4.3333	78	0.8910	0.3643	0.8910	0.9439
No log	4.4444	80	0.9174	0.3643	0.9174	0.9578
No log	4.5556	82	0.9325	0.4354	0.9325	0.9657
No log	4.6667	84	0.9480	0.4613	0.9480	0.9737
No log	4.7778	86	0.9744	0.5099	0.9744	0.9871
No log	4.8889	88	1.0008	0.5232	1.0008	1.0004
No log	5.0	90	1.0126	0.4600	1.0126	1.0063
No log	5.1111	92	1.0483	0.4356	1.0483	1.0239
No log	5.2222	94	1.0548	0.4059	1.0548	1.0270
No log	5.3333	96	1.0636	0.3778	1.0636	1.0313
No log	5.4444	98	1.0568	0.4358	1.0568	1.0280
No log	5.5556	100	1.0641	0.3889	1.0641	1.0316
No log	5.6667	102	1.1121	0.3531	1.1121	1.0545
No log	5.7778	104	1.1077	0.3277	1.1077	1.0525
No log	5.8889	106	1.0268	0.3551	1.0268	1.0133
No log	6.0	108	0.9659	0.4046	0.9659	0.9828
No log	6.1111	110	0.9471	0.4764	0.9471	0.9732
No log	6.2222	112	0.9739	0.4283	0.9739	0.9869
No log	6.3333	114	0.9548	0.4922	0.9548	0.9771
No log	6.4444	116	0.9387	0.5183	0.9387	0.9689
No log	6.5556	118	0.9716	0.5183	0.9716	0.9857
No log	6.6667	120	0.9990	0.5128	0.9990	0.9995
No log	6.7778	122	1.0093	0.5366	1.0093	1.0046
No log	6.8889	124	1.0002	0.5581	1.0002	1.0001
No log	7.0	126	1.0083	0.5453	1.0083	1.0042
No log	7.1111	128	1.0001	0.5610	1.0001	1.0000
No log	7.2222	130	0.9708	0.5391	0.9708	0.9853
No log	7.3333	132	0.9636	0.5391	0.9636	0.9816
No log	7.4444	134	0.9870	0.5391	0.9870	0.9935
No log	7.5556	136	1.0002	0.5524	1.0002	1.0001
No log	7.6667	138	1.0110	0.5737	1.0110	1.0055
No log	7.7778	140	1.0382	0.5581	1.0382	1.0189
No log	7.8889	142	1.0759	0.5452	1.0759	1.0372
No log	8.0	144	1.1200	0.4567	1.1200	1.0583
No log	8.1111	146	1.1320	0.4567	1.1320	1.0639
No log	8.2222	148	1.1091	0.4463	1.1091	1.0531
No log	8.3333	150	1.0655	0.5453	1.0655	1.0322
No log	8.4444	152	1.0487	0.5476	1.0487	1.0241
No log	8.5556	154	1.0455	0.5607	1.0455	1.0225
No log	8.6667	156	1.0511	0.5607	1.0511	1.0253
No log	8.7778	158	1.0447	0.5607	1.0447	1.0221
No log	8.8889	160	1.0363	0.5607	1.0363	1.0180
No log	9.0	162	1.0206	0.5607	1.0206	1.0103
No log	9.1111	164	1.0117	0.5737	1.0117	1.0058
No log	9.2222	166	1.0119	0.5737	1.0119	1.0059
No log	9.3333	168	1.0169	0.5737	1.0169	1.0084
No log	9.4444	170	1.0290	0.5607	1.0290	1.0144
No log	9.5556	172	1.0426	0.5607	1.0426	1.0211
No log	9.6667	174	1.0528	0.5238	1.0528	1.0261
No log	9.7778	176	1.0605	0.5238	1.0605	1.0298
No log	9.8889	178	1.0654	0.5238	1.0654	1.0322
No log	10.0	180	1.0669	0.5238	1.0669	1.0329

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits3_FineTuningAraBERT_run1_AugV5_k3_task1_organization

ArabicNewSplits3_FineTuningAraBERT_run1_AugV5_k3_task1_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits3_FineTuningAraBERT_run1_AugV5_k3_task1_organization