Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0870	2	2.0666	-0.0094	2.0666	1.4376
No log	0.1739	4	1.3040	0.0136	1.3040	1.1419
No log	0.2609	6	1.1036	-0.0036	1.1036	1.0505
No log	0.3478	8	0.9562	0.3060	0.9562	0.9778
No log	0.4348	10	0.8640	0.4398	0.8640	0.9295
No log	0.5217	12	0.8399	0.4398	0.8399	0.9165
No log	0.6087	14	0.8586	0.5596	0.8586	0.9266
No log	0.6957	16	0.7710	0.5778	0.7710	0.8781
No log	0.7826	18	0.7834	0.5778	0.7834	0.8851
No log	0.8696	20	0.8229	0.5596	0.8229	0.9071
No log	0.9565	22	0.8879	0.4560	0.8879	0.9423
No log	1.0435	24	0.8817	0.3548	0.8817	0.9390
No log	1.1304	26	0.8620	0.3548	0.8620	0.9284
No log	1.2174	28	0.8848	0.5756	0.8848	0.9407
No log	1.3043	30	0.8368	0.5596	0.8368	0.9148
No log	1.3913	32	0.8030	0.5596	0.8030	0.8961
No log	1.4783	34	0.8868	0.4402	0.8868	0.9417
No log	1.5652	36	0.7178	0.4937	0.7178	0.8472
No log	1.6522	38	0.6478	0.5756	0.6478	0.8048
No log	1.7391	40	0.6376	0.5924	0.6376	0.7985
No log	1.8261	42	0.6195	0.5924	0.6195	0.7871
No log	1.9130	44	0.6266	0.5924	0.6266	0.7916
No log	2.0	46	0.8219	0.6456	0.8219	0.9066
No log	2.0870	48	0.8565	0.6456	0.8565	0.9255
No log	2.1739	50	0.7641	0.5619	0.7641	0.8741
No log	2.2609	52	0.8088	0.5619	0.8088	0.8993
No log	2.3478	54	0.9811	0.5443	0.9811	0.9905
No log	2.4348	56	1.1944	0.4076	1.1944	1.0929
No log	2.5217	58	1.1427	0.4802	1.1427	1.0690
No log	2.6087	60	0.8479	0.6305	0.8479	0.9208
No log	2.6957	62	0.7205	0.5683	0.7205	0.8488
No log	2.7826	64	0.7597	0.5683	0.7597	0.8716
No log	2.8696	66	0.9329	0.5418	0.9329	0.9659
No log	2.9565	68	1.0084	0.5418	1.0084	1.0042
No log	3.0435	70	0.8616	0.6195	0.8616	0.9282
No log	3.1304	72	0.7103	0.5683	0.7103	0.8428
No log	3.2174	74	0.6460	0.6495	0.6460	0.8037
No log	3.3043	76	0.6573	0.5833	0.6573	0.8107
No log	3.3913	78	0.7652	0.6627	0.7652	0.8747
No log	3.4783	80	0.7687	0.6126	0.7687	0.8767
No log	3.5652	82	0.6621	0.5813	0.6621	0.8137
No log	3.6522	84	0.5942	0.6643	0.5942	0.7708
No log	3.7391	86	0.5757	0.6649	0.5757	0.7587
No log	3.8261	88	0.6411	0.6767	0.6411	0.8007
No log	3.9130	90	0.6679	0.6767	0.6679	0.8173
No log	4.0	92	0.6749	0.6767	0.6749	0.8215
No log	4.0870	94	0.6562	0.6287	0.6562	0.8101
No log	4.1739	96	0.6251	0.5970	0.6251	0.7907
No log	4.2609	98	0.6456	0.5970	0.6456	0.8035
No log	4.3478	100	0.7702	0.6462	0.7702	0.8776
No log	4.4348	102	0.9471	0.6009	0.9471	0.9732
No log	4.5217	104	1.0229	0.5208	1.0229	1.0114
No log	4.6087	106	0.9156	0.6320	0.9156	0.9569
No log	4.6957	108	0.7394	0.5833	0.7394	0.8599
No log	4.7826	110	0.6489	0.5990	0.6489	0.8056
No log	4.8696	112	0.6339	0.5990	0.6339	0.7962
No log	4.9565	114	0.7063	0.5970	0.7063	0.8404
No log	5.0435	116	0.8768	0.5972	0.8768	0.9364
No log	5.1304	118	0.9997	0.5972	0.9997	0.9999
No log	5.2174	120	0.9292	0.5972	0.9292	0.9640
No log	5.3043	122	0.7662	0.6462	0.7662	0.8753
No log	5.3913	124	0.6576	0.5970	0.6576	0.8109
No log	5.4783	126	0.6647	0.5970	0.6647	0.8153
No log	5.5652	128	0.7391	0.5813	0.7391	0.8597
No log	5.6522	130	0.8858	0.6462	0.8858	0.9412
No log	5.7391	132	0.9903	0.6305	0.9903	0.9951
No log	5.8261	134	0.9416	0.6305	0.9416	0.9703
No log	5.9130	136	0.8139	0.5683	0.8139	0.9022
No log	6.0	138	0.7082	0.5759	0.7082	0.8415
No log	6.0870	140	0.6559	0.5900	0.6559	0.8099
No log	6.1739	142	0.6527	0.5900	0.6527	0.8079
No log	6.2609	144	0.7153	0.5813	0.7153	0.8458
No log	6.3478	146	0.8502	0.5663	0.8502	0.9221
No log	6.4348	148	0.9393	0.6094	0.9393	0.9692
No log	6.5217	150	0.9982	0.5929	0.9982	0.9991
No log	6.6087	152	0.9550	0.5929	0.9550	0.9772
No log	6.6957	154	0.8309	0.5813	0.8309	0.9116
No log	6.7826	156	0.7229	0.5683	0.7229	0.8503
No log	6.8696	158	0.6610	0.6339	0.6610	0.8130
No log	6.9565	160	0.6275	0.6339	0.6275	0.7922
No log	7.0435	162	0.6343	0.6339	0.6343	0.7964
No log	7.1304	164	0.6813	0.6339	0.6813	0.8254
No log	7.2174	166	0.7652	0.5813	0.7652	0.8748
No log	7.3043	168	0.8504	0.5972	0.8504	0.9221
No log	7.3913	170	0.9171	0.5972	0.9171	0.9577
No log	7.4783	172	0.8880	0.6452	0.8880	0.9423
No log	7.5652	174	0.8022	0.6322	0.8022	0.8957
No log	7.6522	176	0.7006	0.6339	0.7006	0.8370
No log	7.7391	178	0.6467	0.6339	0.6467	0.8042
No log	7.8261	180	0.6339	0.6339	0.6339	0.7962
No log	7.9130	182	0.6461	0.6339	0.6461	0.8038
No log	8.0	184	0.6880	0.6339	0.6880	0.8294
No log	8.0870	186	0.7247	0.6339	0.7247	0.8513
No log	8.1739	188	0.7437	0.6188	0.7437	0.8624
No log	8.2609	190	0.7313	0.6339	0.7313	0.8552
No log	8.3478	192	0.7471	0.6188	0.7471	0.8644
No log	8.4348	194	0.7512	0.6322	0.7512	0.8667
No log	8.5217	196	0.7463	0.6322	0.7463	0.8639
No log	8.6087	198	0.7537	0.6322	0.7537	0.8681
No log	8.6957	200	0.7512	0.6322	0.7512	0.8667
No log	8.7826	202	0.7543	0.6322	0.7543	0.8685
No log	8.8696	204	0.7436	0.6322	0.7436	0.8623
No log	8.9565	206	0.7261	0.6479	0.7261	0.8521
No log	9.0435	208	0.7044	0.6479	0.7044	0.8393
No log	9.1304	210	0.6860	0.6339	0.6860	0.8282
No log	9.2174	212	0.6702	0.6339	0.6702	0.8186
No log	9.3043	214	0.6715	0.6339	0.6715	0.8194
No log	9.3913	216	0.6759	0.6339	0.6759	0.8221
No log	9.4783	218	0.6778	0.6339	0.6778	0.8233
No log	9.5652	220	0.6832	0.6339	0.6832	0.8266
No log	9.6522	222	0.6873	0.6339	0.6873	0.8290
No log	9.7391	224	0.6908	0.6339	0.6908	0.8311
No log	9.8261	226	0.6918	0.6339	0.6918	0.8318
No log	9.9130	228	0.6920	0.6339	0.6920	0.8319
No log	10.0	230	0.6931	0.6339	0.6931	0.8325

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/Arabic_FineTuningAraBERT_AugV0_k5_task5_organization_fold1

Arabic_FineTuningAraBERT_AugV0_k5_task5_organization_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
Arabic_FineTuningAraBERT_AugV0_k5_task5_organization_fold1