Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.125	2	3.8440	-0.0112	3.8440	1.9606
No log	0.25	4	2.0963	0.0992	2.0963	1.4479
No log	0.375	6	0.9969	0.0569	0.9969	0.9984
No log	0.5	8	0.7145	0.1210	0.7145	0.8453
No log	0.625	10	0.7682	0.0289	0.7682	0.8765
No log	0.75	12	0.7787	0.0237	0.7787	0.8825
No log	0.875	14	0.8813	0.0004	0.8813	0.9388
No log	1.0	16	0.9412	-0.0293	0.9412	0.9701
No log	1.125	18	0.8654	-0.0242	0.8654	0.9303
No log	1.25	20	0.9015	0.0912	0.9015	0.9495
No log	1.375	22	0.8957	0.1324	0.8957	0.9464
No log	1.5	24	0.8320	0.1766	0.8320	0.9121
No log	1.625	26	0.7308	0.1260	0.7308	0.8549
No log	1.75	28	0.6869	0.1355	0.6869	0.8288
No log	1.875	30	0.6423	0.2928	0.6423	0.8015
No log	2.0	32	0.6413	0.2800	0.6413	0.8008
No log	2.125	34	0.7518	0.2053	0.7518	0.8670
No log	2.25	36	0.7811	0.1952	0.7811	0.8838
No log	2.375	38	0.7810	0.2339	0.7810	0.8837
No log	2.5	40	0.7432	0.2304	0.7432	0.8621
No log	2.625	42	0.7685	0.2611	0.7685	0.8767
No log	2.75	44	0.8901	0.2395	0.8901	0.9435
No log	2.875	46	1.0317	0.1967	1.0317	1.0157
No log	3.0	48	0.9520	0.2257	0.9520	0.9757
No log	3.125	50	0.7045	0.3586	0.7045	0.8394
No log	3.25	52	0.6398	0.3269	0.6398	0.7999
No log	3.375	54	0.5916	0.3429	0.5916	0.7691
No log	3.5	56	0.5683	0.3491	0.5683	0.7538
No log	3.625	58	0.5748	0.3496	0.5748	0.7582
No log	3.75	60	0.6161	0.3659	0.6161	0.7849
No log	3.875	62	0.6759	0.3803	0.6759	0.8221
No log	4.0	64	0.7300	0.3681	0.7300	0.8544
No log	4.125	66	0.7121	0.3880	0.7121	0.8439
No log	4.25	68	0.6670	0.4320	0.6670	0.8167
No log	4.375	70	0.6188	0.4524	0.6188	0.7866
No log	4.5	72	0.5871	0.4178	0.5871	0.7662
No log	4.625	74	0.6527	0.4898	0.6527	0.8079
No log	4.75	76	0.6741	0.4872	0.6741	0.8210
No log	4.875	78	0.6525	0.4783	0.6525	0.8078
No log	5.0	80	0.6201	0.4233	0.6201	0.7875
No log	5.125	82	0.6321	0.4528	0.6321	0.7950
No log	5.25	84	0.6190	0.4382	0.6190	0.7867
No log	5.375	86	0.6118	0.4563	0.6118	0.7821
No log	5.5	88	0.6226	0.4674	0.6226	0.7891
No log	5.625	90	0.6328	0.5129	0.6328	0.7955
No log	5.75	92	0.6651	0.4906	0.6651	0.8156
No log	5.875	94	0.6926	0.4971	0.6926	0.8322
No log	6.0	96	0.7198	0.4795	0.7198	0.8484
No log	6.125	98	0.7333	0.5156	0.7333	0.8563
No log	6.25	100	0.7198	0.4969	0.7198	0.8484
No log	6.375	102	0.7165	0.4949	0.7165	0.8465
No log	6.5	104	0.7075	0.5175	0.7075	0.8411
No log	6.625	106	0.7162	0.5222	0.7162	0.8463
No log	6.75	108	0.7459	0.5061	0.7459	0.8636
No log	6.875	110	0.7852	0.4784	0.7852	0.8861
No log	7.0	112	0.8067	0.5088	0.8067	0.8982
No log	7.125	114	0.8229	0.4748	0.8229	0.9071
No log	7.25	116	0.8315	0.4593	0.8315	0.9119
No log	7.375	118	0.8488	0.4378	0.8488	0.9213
No log	7.5	120	0.8558	0.4482	0.8558	0.9251
No log	7.625	122	0.8586	0.4482	0.8586	0.9266
No log	7.75	124	0.8595	0.4583	0.8595	0.9271
No log	7.875	126	0.8697	0.4573	0.8697	0.9326
No log	8.0	128	0.8803	0.4459	0.8803	0.9383
No log	8.125	130	0.8866	0.4265	0.8866	0.9416
No log	8.25	132	0.8836	0.4518	0.8836	0.9400
No log	8.375	134	0.8854	0.4843	0.8854	0.9410
No log	8.5	136	0.8908	0.4581	0.8908	0.9438
No log	8.625	138	0.8937	0.4482	0.8937	0.9454
No log	8.75	140	0.8900	0.4264	0.8900	0.9434
No log	8.875	142	0.8896	0.4200	0.8896	0.9432
No log	9.0	144	0.8917	0.4393	0.8917	0.9443
No log	9.125	146	0.8920	0.4264	0.8920	0.9445
No log	9.25	148	0.8940	0.4152	0.8940	0.9455
No log	9.375	150	0.8921	0.4264	0.8921	0.9445
No log	9.5	152	0.8901	0.4264	0.8901	0.9435
No log	9.625	154	0.8889	0.4264	0.8889	0.9428
No log	9.75	156	0.8866	0.4264	0.8866	0.9416
No log	9.875	158	0.8850	0.4264	0.8850	0.9407
No log	10.0	160	0.8844	0.4264	0.8844	0.9404

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits4_FineTuningAraBERT_run2_AugV5_k3_task2_organization

ArabicNewSplits4_FineTuningAraBERT_run2_AugV5_k3_task2_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits4_FineTuningAraBERT_run2_AugV5_k3_task2_organization