Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1111	2	1.8570	0.1557	1.8570	1.3627
No log	0.2222	4	1.1956	0.2953	1.1956	1.0934
No log	0.3333	6	0.8627	0.2453	0.8627	0.9288
No log	0.4444	8	0.8415	0.2578	0.8415	0.9173
No log	0.5556	10	0.9011	0.3208	0.9011	0.9492
No log	0.6667	12	0.9353	0.3399	0.9353	0.9671
No log	0.7778	14	0.8476	0.3667	0.8476	0.9207
No log	0.8889	16	0.7561	0.4754	0.7561	0.8696
No log	1.0	18	0.7316	0.4595	0.7316	0.8553
No log	1.1111	20	0.7822	0.5573	0.7822	0.8844
No log	1.2222	22	0.7235	0.5195	0.7235	0.8506
No log	1.3333	24	0.6268	0.3972	0.6268	0.7917
No log	1.4444	26	0.6065	0.3972	0.6065	0.7788
No log	1.5556	28	0.5844	0.4792	0.5844	0.7644
No log	1.6667	30	0.5919	0.4386	0.5919	0.7693
No log	1.7778	32	0.6119	0.4792	0.6119	0.7822
No log	1.8889	34	0.5808	0.6584	0.5808	0.7621
No log	2.0	36	0.5355	0.6011	0.5355	0.7317
No log	2.1111	38	0.5421	0.6829	0.5421	0.7363
No log	2.2222	40	0.5368	0.6829	0.5368	0.7326
No log	2.3333	42	0.5274	0.6717	0.5274	0.7262
No log	2.4444	44	0.5517	0.6164	0.5517	0.7428
No log	2.5556	46	0.5546	0.6562	0.5546	0.7447
No log	2.6667	48	0.5174	0.6707	0.5174	0.7193
No log	2.7778	50	0.5147	0.5856	0.5147	0.7174
No log	2.8889	52	0.5706	0.6834	0.5706	0.7554
No log	3.0	54	0.6050	0.7074	0.6050	0.7778
No log	3.1111	56	0.6196	0.6364	0.6196	0.7872
No log	3.2222	58	0.6526	0.6134	0.6526	0.8078
No log	3.3333	60	0.6459	0.6364	0.6459	0.8037
No log	3.4444	62	0.7475	0.6462	0.7475	0.8646
No log	3.5556	64	0.9956	0.5309	0.9956	0.9978
No log	3.6667	66	1.0227	0.5309	1.0227	1.0113
No log	3.7778	68	0.8375	0.5862	0.8375	0.9152
No log	3.8889	70	0.6925	0.6947	0.6925	0.8322
No log	4.0	72	0.6193	0.6947	0.6193	0.7869
No log	4.1111	74	0.5508	0.6834	0.5508	0.7421
No log	4.2222	76	0.5132	0.7120	0.5132	0.7164
No log	4.3333	78	0.5017	0.7120	0.5017	0.7083
No log	4.4444	80	0.5336	0.7494	0.5336	0.7305
No log	4.5556	82	0.6506	0.6512	0.6506	0.8066
No log	4.6667	84	0.8157	0.5662	0.8157	0.9031
No log	4.7778	86	0.9667	0.5604	0.9667	0.9832
No log	4.8889	88	0.9874	0.5354	0.9874	0.9937
No log	5.0	90	0.9394	0.5852	0.9394	0.9692
No log	5.1111	92	0.8354	0.6095	0.8354	0.9140
No log	5.2222	94	0.7514	0.5973	0.7514	0.8668
No log	5.3333	96	0.6766	0.5778	0.6766	0.8225
No log	5.4444	98	0.6307	0.6512	0.6307	0.7942
No log	5.5556	100	0.6403	0.6512	0.6403	0.8002
No log	5.6667	102	0.6654	0.6421	0.6654	0.8157
No log	5.7778	104	0.6192	0.6512	0.6192	0.7869
No log	5.8889	106	0.5868	0.7222	0.5868	0.7660
No log	6.0	108	0.6120	0.6947	0.6120	0.7823
No log	6.1111	110	0.6149	0.6247	0.6149	0.7841
No log	6.2222	112	0.6107	0.6247	0.6107	0.7815
No log	6.3333	114	0.6127	0.6247	0.6127	0.7827
No log	6.4444	116	0.6769	0.6247	0.6769	0.8228
No log	6.5556	118	0.8063	0.5519	0.8063	0.8979
No log	6.6667	120	0.8994	0.5604	0.8994	0.9484
No log	6.7778	122	0.9504	0.5127	0.9504	0.9749
No log	6.8889	124	0.9294	0.4749	0.9294	0.9640
No log	7.0	126	0.8665	0.5581	0.8665	0.9308
No log	7.1111	128	0.8173	0.6126	0.8173	0.9041
No log	7.2222	130	0.7796	0.5900	0.7796	0.8830
No log	7.3333	132	0.7620	0.6445	0.7620	0.8729
No log	7.4444	134	0.7536	0.6445	0.7536	0.8681
No log	7.5556	136	0.7658	0.5913	0.7658	0.8751
No log	7.6667	138	0.8099	0.6126	0.8099	0.8999
No log	7.7778	140	0.8969	0.5878	0.8969	0.9470
No log	7.8889	142	0.9620	0.5734	0.9620	0.9808
No log	8.0	144	0.9870	0.5734	0.9870	0.9935
No log	8.1111	146	0.9577	0.5734	0.9577	0.9786
No log	8.2222	148	0.8811	0.6262	0.8811	0.9387
No log	8.3333	150	0.7804	0.6146	0.7804	0.8834
No log	8.4444	152	0.6800	0.6834	0.6800	0.8246
No log	8.5556	154	0.6313	0.6834	0.6313	0.7945
No log	8.6667	156	0.6221	0.6834	0.6221	0.7888
No log	8.7778	158	0.6241	0.6834	0.6241	0.7900
No log	8.8889	160	0.6264	0.6834	0.6264	0.7914
No log	9.0	162	0.6413	0.6834	0.6413	0.8008
No log	9.1111	164	0.6711	0.6834	0.6711	0.8192
No log	9.2222	166	0.7010	0.6834	0.7010	0.8372
No log	9.3333	168	0.7277	0.6834	0.7277	0.8531
No log	9.4444	170	0.7576	0.6667	0.7576	0.8704
No log	9.5556	172	0.7699	0.6667	0.7699	0.8774
No log	9.6667	174	0.7688	0.6667	0.7688	0.8768
No log	9.7778	176	0.7625	0.6667	0.7625	0.8732
No log	9.8889	178	0.7571	0.6667	0.7571	0.8701
No log	10.0	180	0.7551	0.6667	0.7551	0.8690

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/Arabic_FineTuningAraBERT_AugV5_k2_task5_organization_fold0

Arabic_FineTuningAraBERT_AugV5_k2_task5_organization_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
Arabic_FineTuningAraBERT_AugV5_k2_task5_organization_fold0