Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1667	2	2.1878	0.0370	2.1878	1.4791
No log	0.3333	4	1.3588	0.3083	1.3588	1.1657
No log	0.5	6	1.3346	0.2084	1.3346	1.1553
No log	0.6667	8	1.6107	0.2842	1.6107	1.2691
No log	0.8333	10	1.6034	0.2389	1.6034	1.2663
No log	1.0	12	1.5060	0.2877	1.5060	1.2272
No log	1.1667	14	1.4421	0.3513	1.4421	1.2009
No log	1.3333	16	1.3840	0.3438	1.3840	1.1764
No log	1.5	18	1.3343	0.3598	1.3343	1.1551
No log	1.6667	20	1.3586	0.4430	1.3586	1.1656
No log	1.8333	22	1.3225	0.4597	1.3225	1.1500
No log	2.0	24	1.2590	0.4709	1.2590	1.1221
No log	2.1667	26	1.2039	0.4997	1.2039	1.0972
No log	2.3333	28	1.2501	0.4709	1.2501	1.1181
No log	2.5	30	1.2475	0.4885	1.2475	1.1169
No log	2.6667	32	1.2880	0.4736	1.2880	1.1349
No log	2.8333	34	1.0968	0.5342	1.0968	1.0473
No log	3.0	36	0.8683	0.5672	0.8683	0.9318
No log	3.1667	38	0.8042	0.5095	0.8042	0.8968
No log	3.3333	40	0.8048	0.4901	0.8048	0.8971
No log	3.5	42	0.8573	0.6161	0.8573	0.9259
No log	3.6667	44	1.0560	0.5638	1.0560	1.0276
No log	3.8333	46	1.2548	0.5055	1.2548	1.1202
No log	4.0	48	1.5072	0.4628	1.5072	1.2277
No log	4.1667	50	1.5551	0.4474	1.5551	1.2470
No log	4.3333	52	1.5773	0.4520	1.5773	1.2559
No log	4.5	54	1.4398	0.4954	1.4398	1.1999
No log	4.6667	56	1.1994	0.5388	1.1994	1.0952
No log	4.8333	58	1.0994	0.5831	1.0994	1.0485
No log	5.0	60	1.0631	0.5953	1.0631	1.0311
No log	5.1667	62	1.2124	0.5407	1.2124	1.1011
No log	5.3333	64	1.3983	0.5243	1.3983	1.1825
No log	5.5	66	1.5422	0.4885	1.5422	1.2418
No log	5.6667	68	1.5609	0.4771	1.5609	1.2494
No log	5.8333	70	1.4322	0.5184	1.4322	1.1967
No log	6.0	72	1.1673	0.5812	1.1673	1.0804
No log	6.1667	74	1.0331	0.6231	1.0331	1.0164
No log	6.3333	76	1.0521	0.6252	1.0521	1.0257
No log	6.5	78	1.1825	0.5605	1.1825	1.0874
No log	6.6667	80	1.3724	0.5252	1.3724	1.1715
No log	6.8333	82	1.4427	0.5238	1.4427	1.2011
No log	7.0	84	1.4253	0.5279	1.4253	1.1938
No log	7.1667	86	1.3821	0.5311	1.3821	1.1756
No log	7.3333	88	1.3205	0.5274	1.3205	1.1491
No log	7.5	90	1.2603	0.5786	1.2603	1.1226
No log	7.6667	92	1.2001	0.6118	1.2001	1.0955
No log	7.8333	94	1.1598	0.6193	1.1598	1.0769
No log	8.0	96	1.1141	0.6202	1.1141	1.0555
No log	8.1667	98	1.1151	0.6217	1.1151	1.0560
No log	8.3333	100	1.1161	0.6160	1.1161	1.0565
No log	8.5	102	1.1698	0.6220	1.1698	1.0816
No log	8.6667	104	1.2404	0.6049	1.2404	1.1137
No log	8.8333	106	1.3207	0.5661	1.3207	1.1492
No log	9.0	108	1.3870	0.5521	1.3870	1.1777
No log	9.1667	110	1.4139	0.5521	1.4139	1.1891
No log	9.3333	112	1.4059	0.5521	1.4059	1.1857
No log	9.5	114	1.3793	0.5521	1.3793	1.1744
No log	9.6667	116	1.3430	0.5507	1.3430	1.1589
No log	9.8333	118	1.3125	0.5580	1.3125	1.1456
No log	10.0	120	1.3044	0.5633	1.3044	1.1421

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits4_FineTuningAraBERT_run1_AugV5_k3_task5_organization

ArabicNewSplits4_FineTuningAraBERT_run1_AugV5_k3_task5_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits4_FineTuningAraBERT_run1_AugV5_k3_task5_organization