Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1	2	2.5938	0.1133	2.5938	1.6105
No log	0.2	4	1.4209	0.2000	1.4209	1.1920
No log	0.3	6	0.9513	0.2628	0.9513	0.9753
No log	0.4	8	0.7445	0.4098	0.7445	0.8628
No log	0.5	10	0.7694	0.5297	0.7694	0.8771
No log	0.6	12	0.8533	0.5297	0.8533	0.9237
No log	0.7	14	0.6583	0.7514	0.6583	0.8114
No log	0.8	16	0.7791	0.4430	0.7791	0.8827
No log	0.9	18	0.6740	0.7343	0.6740	0.8210
No log	1.0	20	1.0379	0.6237	1.0379	1.0188
No log	1.1	22	1.1093	0.6036	1.1093	1.0532
No log	1.2	24	0.8848	0.6161	0.8848	0.9406
No log	1.3	26	0.8164	0.5833	0.8164	0.9035
No log	1.4	28	0.6350	0.7545	0.6350	0.7969
No log	1.5	30	0.6080	0.7216	0.6080	0.7798
No log	1.6	32	0.6363	0.7005	0.6363	0.7977
No log	1.7	34	0.6572	0.7545	0.6572	0.8107
No log	1.8	36	0.7211	0.7126	0.7211	0.8492
No log	1.9	38	0.7400	0.7126	0.7400	0.8602
No log	2.0	40	0.7350	0.7126	0.7350	0.8573
No log	2.1	42	0.8149	0.7458	0.8149	0.9027
No log	2.2	44	0.8116	0.7458	0.8116	0.9009
No log	2.3	46	0.6484	0.7194	0.6484	0.8053
No log	2.4	48	0.5942	0.7303	0.5942	0.7708
No log	2.5	50	0.6471	0.7468	0.6471	0.8044
No log	2.6	52	0.7732	0.7468	0.7732	0.8793
No log	2.7	54	0.8805	0.6926	0.8805	0.9384
No log	2.8	56	0.8431	0.7458	0.8431	0.9182
No log	2.9	58	0.7102	0.7458	0.7102	0.8427
No log	3.0	60	0.6343	0.6888	0.6343	0.7964
No log	3.1	62	0.6535	0.7303	0.6535	0.8084
No log	3.2	64	0.6447	0.7303	0.6447	0.8030
No log	3.3	66	0.6577	0.7557	0.6577	0.8110
No log	3.4	68	0.6189	0.7303	0.6189	0.7867
No log	3.5	70	0.5628	0.7333	0.5628	0.7502
No log	3.6	72	0.6466	0.7468	0.6466	0.8041
No log	3.7	74	0.9686	0.7276	0.9686	0.9842
No log	3.8	76	1.0994	0.6472	1.0994	1.0485
No log	3.9	78	0.9429	0.6880	0.9429	0.9710
No log	4.0	80	0.7124	0.7719	0.7124	0.8440
No log	4.1	82	0.5871	0.7868	0.5871	0.7662
No log	4.2	84	0.5111	0.7343	0.5111	0.7149
No log	4.3	86	0.5156	0.7101	0.5156	0.7180
No log	4.4	88	0.5187	0.7101	0.5187	0.7202
No log	4.5	90	0.6019	0.7403	0.6019	0.7758
No log	4.6	92	0.7524	0.7719	0.7524	0.8674
No log	4.7	94	0.8782	0.7101	0.8782	0.9371
No log	4.8	96	0.9106	0.6708	0.9106	0.9542
No log	4.9	98	0.8622	0.7694	0.8622	0.9285
No log	5.0	100	0.7285	0.7458	0.7285	0.8535
No log	5.1	102	0.5869	0.7510	0.5869	0.7661
No log	5.2	104	0.4944	0.7783	0.4944	0.7032
No log	5.3	106	0.4933	0.7783	0.4933	0.7024
No log	5.4	108	0.5293	0.7228	0.5293	0.7275
No log	5.5	110	0.6734	0.7468	0.6734	0.8206
No log	5.6	112	0.7166	0.7468	0.7166	0.8465
No log	5.7	114	0.6632	0.7049	0.6632	0.8144
No log	5.8	116	0.5867	0.7510	0.5867	0.7659
No log	5.9	118	0.5562	0.7510	0.5562	0.7458
No log	6.0	120	0.5600	0.7510	0.5600	0.7484
No log	6.1	122	0.6200	0.7138	0.6200	0.7874
No log	6.2	124	0.6478	0.7138	0.6478	0.8048
No log	6.3	126	0.7390	0.7064	0.7390	0.8596
No log	6.4	128	0.7704	0.6885	0.7704	0.8777
No log	6.5	130	0.7163	0.6885	0.7163	0.8463
No log	6.6	132	0.6517	0.7138	0.6517	0.8073
No log	6.7	134	0.6763	0.6859	0.6763	0.8224
No log	6.8	136	0.7219	0.6885	0.7219	0.8497
No log	6.9	138	0.7378	0.6885	0.7378	0.8589
No log	7.0	140	0.7650	0.6885	0.7650	0.8746
No log	7.1	142	0.7387	0.6885	0.7387	0.8595
No log	7.2	144	0.7101	0.6885	0.7101	0.8427
No log	7.3	146	0.6818	0.6885	0.6818	0.8257
No log	7.4	148	0.7005	0.6885	0.7005	0.8370
No log	7.5	150	0.7659	0.6885	0.7659	0.8752
No log	7.6	152	0.8026	0.6885	0.8026	0.8959
No log	7.7	154	0.8122	0.6885	0.8122	0.9012
No log	7.8	156	0.8333	0.6885	0.8333	0.9128
No log	7.9	158	0.8936	0.7129	0.8936	0.9453
No log	8.0	160	0.9017	0.7129	0.9017	0.9496
No log	8.1	162	0.8649	0.6885	0.8649	0.9300
No log	8.2	164	0.8095	0.6885	0.8095	0.8997
No log	8.3	166	0.7472	0.7064	0.7472	0.8644
No log	8.4	168	0.7064	0.7064	0.7064	0.8405
No log	8.5	170	0.6771	0.7049	0.6771	0.8229
No log	8.6	172	0.6902	0.6859	0.6902	0.8308
No log	8.7	174	0.7156	0.6885	0.7156	0.8459
No log	8.8	176	0.7703	0.6885	0.7703	0.8777
No log	8.9	178	0.8297	0.7129	0.8297	0.9109
No log	9.0	180	0.8653	0.7129	0.8653	0.9302
No log	9.1	182	0.8774	0.7129	0.8774	0.9367
No log	9.2	184	0.8576	0.7129	0.8576	0.9261
No log	9.3	186	0.8286	0.7129	0.8286	0.9103
No log	9.4	188	0.8011	0.6885	0.8011	0.8951
No log	9.5	190	0.7765	0.6885	0.7765	0.8812
No log	9.6	192	0.7532	0.6885	0.7532	0.8679
No log	9.7	194	0.7445	0.6885	0.7445	0.8628
No log	9.8	196	0.7405	0.6885	0.7405	0.8605
No log	9.9	198	0.7415	0.6885	0.7415	0.8611
No log	10.0	200	0.7407	0.6885	0.7407	0.8606

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/Arabic_FineTuningAraBERT_AugV4_k1_task5_organization_fold0

Arabic_FineTuningAraBERT_AugV4_k1_task5_organization_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
Arabic_FineTuningAraBERT_AugV4_k1_task5_organization_fold0