Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1818	2	4.0979	0.0	4.0979	2.0243
No log	0.3636	4	2.4164	-0.0722	2.4164	1.5545
No log	0.5455	6	1.3081	-0.0565	1.3081	1.1437
No log	0.7273	8	0.8013	0.0	0.8013	0.8952
No log	0.9091	10	0.8953	-0.1786	0.8953	0.9462
No log	1.0909	12	1.6143	-0.0185	1.6143	1.2705
No log	1.2727	14	1.0090	0.0320	1.0090	1.0045
No log	1.4545	16	0.8906	0.0	0.8906	0.9437
No log	1.6364	18	0.8549	0.0	0.8549	0.9246
No log	1.8182	20	0.7680	0.0	0.7680	0.8764
No log	2.0	22	0.9335	0.0	0.9335	0.9662
No log	2.1818	24	0.9659	0.0	0.9659	0.9828
No log	2.3636	26	0.8547	0.0	0.8547	0.9245
No log	2.5455	28	0.8165	0.0	0.8165	0.9036
No log	2.7273	30	0.8206	0.0	0.8206	0.9059
No log	2.9091	32	0.8537	0.0	0.8537	0.9240
No log	3.0909	34	0.8668	0.0	0.8668	0.9310
No log	3.2727	36	0.9152	0.0	0.9152	0.9567
No log	3.4545	38	0.9079	0.0	0.9079	0.9528
No log	3.6364	40	0.8624	0.0	0.8624	0.9287
No log	3.8182	42	0.8349	0.0	0.8349	0.9137
No log	4.0	44	0.8317	0.0	0.8317	0.9120
No log	4.1818	46	0.8519	0.0	0.8519	0.9230
No log	4.3636	48	0.8696	0.0	0.8696	0.9325
No log	4.5455	50	0.9197	0.0	0.9197	0.9590
No log	4.7273	52	0.9372	0.0	0.9372	0.9681
No log	4.9091	54	0.9378	0.0	0.9378	0.9684
No log	5.0909	56	0.9167	0.0	0.9167	0.9575
No log	5.2727	58	0.9088	0.0	0.9088	0.9533
No log	5.4545	60	0.9235	0.0	0.9235	0.9610
No log	5.6364	62	0.8993	0.0	0.8993	0.9483
No log	5.8182	64	0.8785	0.0	0.8785	0.9373
No log	6.0	66	0.8725	0.0	0.8725	0.9341
No log	6.1818	68	0.8723	0.0	0.8723	0.9340
No log	6.3636	70	0.8766	0.0	0.8766	0.9362
No log	6.5455	72	0.9303	0.0320	0.9303	0.9645
No log	6.7273	74	0.8891	-0.1786	0.8891	0.9429
No log	6.9091	76	0.8540	-0.0185	0.8540	0.9241
No log	7.0909	78	0.8662	-0.0342	0.8662	0.9307
No log	7.2727	80	0.8580	-0.0185	0.8580	0.9263
No log	7.4545	82	0.8769	-0.0185	0.8769	0.9364
No log	7.6364	84	0.9401	0.0320	0.9401	0.9696
No log	7.8182	86	0.9896	0.2029	0.9896	0.9948
No log	8.0	88	0.9578	0.0320	0.9578	0.9787
No log	8.1818	90	0.9342	-0.1818	0.9342	0.9665
No log	8.3636	92	0.9253	-0.1818	0.9253	0.9619
No log	8.5455	94	0.9246	-0.1818	0.9246	0.9616
No log	8.7273	96	0.9314	-0.1818	0.9314	0.9651
No log	8.9091	98	0.9376	0.0149	0.9376	0.9683
No log	9.0909	100	0.9456	0.0149	0.9456	0.9724
No log	9.2727	102	0.9507	0.0149	0.9507	0.9750
No log	9.4545	104	0.9663	0.0320	0.9663	0.9830
No log	9.6364	106	0.9718	0.0320	0.9718	0.9858
No log	9.8182	108	0.9675	0.0320	0.9675	0.9836
No log	10.0	110	0.9635	0.0320	0.9635	0.9816

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/Arabic_FineTuningAraBERT_AugV0_k2_task3_organization_fold0

Arabic_FineTuningAraBERT_AugV0_k2_task3_organization_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
Arabic_FineTuningAraBERT_AugV0_k2_task3_organization_fold0