Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.2222	2	2.1062	0.0248	2.1062	1.4513
No log	0.4444	4	1.4830	0.2133	1.4830	1.2178
No log	0.6667	6	1.2694	0.2596	1.2694	1.1267
No log	0.8889	8	1.4232	0.3582	1.4232	1.1930
No log	1.1111	10	1.4754	0.3387	1.4754	1.2147
No log	1.3333	12	1.3493	0.2339	1.3493	1.1616
No log	1.5556	14	1.2133	0.2073	1.2133	1.1015
No log	1.7778	16	1.1868	0.2539	1.1868	1.0894
No log	2.0	18	1.1995	0.4320	1.1995	1.0952
No log	2.2222	20	1.1933	0.4381	1.1933	1.0924
No log	2.4444	22	1.1977	0.4844	1.1977	1.0944
No log	2.6667	24	1.0162	0.5471	1.0162	1.0081
No log	2.8889	26	0.8523	0.6153	0.8523	0.9232
No log	3.1111	28	0.8932	0.6034	0.8932	0.9451
No log	3.3333	30	0.9157	0.6031	0.9157	0.9569
No log	3.5556	32	0.8046	0.6787	0.8046	0.8970
No log	3.7778	34	0.7090	0.6849	0.7090	0.8420
No log	4.0	36	0.6715	0.7037	0.6715	0.8195
No log	4.2222	38	0.7141	0.6875	0.7141	0.8451
No log	4.4444	40	0.8048	0.6487	0.8048	0.8971
No log	4.6667	42	0.7582	0.6622	0.7582	0.8707
No log	4.8889	44	0.6641	0.7005	0.6641	0.8149
No log	5.1111	46	0.6146	0.7233	0.6146	0.7840
No log	5.3333	48	0.6128	0.7014	0.6128	0.7828
No log	5.5556	50	0.6168	0.7423	0.6168	0.7854
No log	5.7778	52	0.7063	0.7000	0.7063	0.8404
No log	6.0	54	0.8187	0.6826	0.8187	0.9048
No log	6.2222	56	0.8121	0.6826	0.8121	0.9012
No log	6.4444	58	0.7075	0.7162	0.7075	0.8412
No log	6.6667	60	0.6879	0.7266	0.6879	0.8294
No log	6.8889	62	0.7090	0.7266	0.7090	0.8420
No log	7.1111	64	0.7626	0.6939	0.7626	0.8733
No log	7.3333	66	0.7805	0.6853	0.7805	0.8835
No log	7.5556	68	0.8029	0.6937	0.8029	0.8961
No log	7.7778	70	0.7543	0.7141	0.7543	0.8685
No log	8.0	72	0.7435	0.7021	0.7435	0.8623
No log	8.2222	74	0.7116	0.7123	0.7116	0.8436
No log	8.4444	76	0.6927	0.7144	0.6927	0.8323
No log	8.6667	78	0.6794	0.7309	0.6794	0.8243
No log	8.8889	80	0.6726	0.7309	0.6726	0.8201
No log	9.1111	82	0.6677	0.7353	0.6677	0.8171
No log	9.3333	84	0.6648	0.7353	0.6648	0.8154
No log	9.5556	86	0.6628	0.7331	0.6628	0.8141
No log	9.7778	88	0.6610	0.7331	0.6610	0.8130
No log	10.0	90	0.6602	0.7331	0.6602	0.8125

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits4_FineTuningAraBERT_run3_AugV5_k2_task5_organization

ArabicNewSplits4_FineTuningAraBERT_run3_AugV5_k2_task5_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits4_FineTuningAraBERT_run3_AugV5_k2_task5_organization