Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0952	2	2.4540	0.0041	2.4540	1.5665
No log	0.1905	4	1.6296	0.0992	1.6296	1.2766
No log	0.2857	6	1.4142	0.1751	1.4142	1.1892
No log	0.3810	8	1.5599	0.2601	1.5599	1.2490
No log	0.4762	10	1.6495	0.3429	1.6495	1.2843
No log	0.5714	12	1.3784	0.2708	1.3784	1.1740
No log	0.6667	14	1.3300	0.2731	1.3300	1.1533
No log	0.7619	16	1.2608	0.2509	1.2608	1.1229
No log	0.8571	18	1.2724	0.2690	1.2724	1.1280
No log	0.9524	20	1.3626	0.3611	1.3626	1.1673
No log	1.0476	22	1.4533	0.3721	1.4533	1.2055
No log	1.1429	24	1.4377	0.2970	1.4377	1.1990
No log	1.2381	26	1.5078	0.3460	1.5078	1.2279
No log	1.3333	28	1.5633	0.3508	1.5633	1.2503
No log	1.4286	30	1.6607	0.3690	1.6607	1.2887
No log	1.5238	32	1.6561	0.3690	1.6561	1.2869
No log	1.6190	34	1.4603	0.3933	1.4603	1.2084
No log	1.7143	36	1.2003	0.3661	1.2003	1.0956
No log	1.8095	38	1.1183	0.4030	1.1183	1.0575
No log	1.9048	40	1.0576	0.4958	1.0576	1.0284
No log	2.0	42	1.1584	0.4014	1.1584	1.0763
No log	2.0952	44	1.4653	0.4429	1.4653	1.2105
No log	2.1905	46	1.5445	0.4749	1.5445	1.2428
No log	2.2857	48	1.3976	0.5050	1.3976	1.1822
No log	2.3810	50	1.1125	0.5214	1.1125	1.0548
No log	2.4762	52	0.9404	0.5376	0.9404	0.9697
No log	2.5714	54	0.8704	0.5903	0.8704	0.9329
No log	2.6667	56	0.8955	0.6380	0.8955	0.9463
No log	2.7619	58	0.8479	0.6430	0.8479	0.9208
No log	2.8571	60	0.9703	0.6341	0.9703	0.9850
No log	2.9524	62	0.9446	0.6238	0.9446	0.9719
No log	3.0476	64	0.7347	0.6632	0.7347	0.8572
No log	3.1429	66	0.6949	0.6741	0.6949	0.8336
No log	3.2381	68	0.7096	0.6610	0.7096	0.8424
No log	3.3333	70	0.7802	0.6514	0.7802	0.8833
No log	3.4286	72	0.8255	0.6471	0.8255	0.9085
No log	3.5238	74	0.7969	0.6792	0.7969	0.8927
No log	3.6190	76	0.6596	0.7112	0.6596	0.8122
No log	3.7143	78	0.7776	0.5983	0.7776	0.8818
No log	3.8095	80	0.8423	0.5859	0.8423	0.9178
No log	3.9048	82	0.7172	0.6159	0.7172	0.8469
No log	4.0	84	0.6921	0.7006	0.6921	0.8319
No log	4.0952	86	0.9058	0.6672	0.9058	0.9518
No log	4.1905	88	0.8928	0.6654	0.8928	0.9449
No log	4.2857	90	0.8064	0.6688	0.8064	0.8980
No log	4.3810	92	0.7670	0.6706	0.7670	0.8758
No log	4.4762	94	0.7128	0.6716	0.7128	0.8443
No log	4.5714	96	0.7008	0.6814	0.7008	0.8371
No log	4.6667	98	0.7017	0.6814	0.7017	0.8377
No log	4.7619	100	0.7522	0.6628	0.7522	0.8673
No log	4.8571	102	0.9243	0.6707	0.9243	0.9614
No log	4.9524	104	0.9949	0.6286	0.9949	0.9974
No log	5.0476	106	0.9371	0.6519	0.9371	0.9680
No log	5.1429	108	0.8895	0.6440	0.8895	0.9431
No log	5.2381	110	0.8182	0.6339	0.8182	0.9046
No log	5.3333	112	0.8179	0.6440	0.8179	0.9044
No log	5.4286	114	0.7780	0.6668	0.7780	0.8821
No log	5.5238	116	0.7892	0.6668	0.7892	0.8884
No log	5.6190	118	0.8589	0.6498	0.8589	0.9268
No log	5.7143	120	0.9648	0.6442	0.9648	0.9823
No log	5.8095	122	1.0803	0.5980	1.0803	1.0394
No log	5.9048	124	1.0125	0.6275	1.0125	1.0062
No log	6.0	126	0.8408	0.6503	0.8408	0.9169
No log	6.0952	128	0.7456	0.6337	0.7456	0.8635
No log	6.1905	130	0.7204	0.6483	0.7204	0.8488
No log	6.2857	132	0.7057	0.6426	0.7057	0.8401
No log	6.3810	134	0.6993	0.6457	0.6993	0.8363
No log	6.4762	136	0.7669	0.6745	0.7669	0.8757
No log	6.5714	138	0.9003	0.6306	0.9003	0.9488
No log	6.6667	140	0.9139	0.6269	0.9139	0.9560
No log	6.7619	142	0.8305	0.6322	0.8305	0.9113
No log	6.8571	144	0.7137	0.6889	0.7137	0.8448
No log	6.9524	146	0.6565	0.7105	0.6565	0.8103
No log	7.0476	148	0.6438	0.7154	0.6438	0.8024
No log	7.1429	150	0.6660	0.7037	0.6660	0.8161
No log	7.2381	152	0.7397	0.6715	0.7397	0.8601
No log	7.3333	154	0.8706	0.6486	0.8706	0.9330
No log	7.4286	156	0.9199	0.6546	0.9199	0.9591
No log	7.5238	158	0.8814	0.6523	0.8814	0.9388
No log	7.6190	160	0.7945	0.6622	0.7945	0.8914
No log	7.7143	162	0.7358	0.6734	0.7358	0.8578
No log	7.8095	164	0.7031	0.6762	0.7031	0.8385
No log	7.9048	166	0.6650	0.6943	0.6650	0.8155
No log	8.0	168	0.6489	0.7131	0.6489	0.8055
No log	8.0952	170	0.6506	0.7131	0.6506	0.8066
No log	8.1905	172	0.6704	0.6980	0.6704	0.8188
No log	8.2857	174	0.7136	0.6932	0.7136	0.8448
No log	8.3810	176	0.7651	0.6826	0.7651	0.8747
No log	8.4762	178	0.7943	0.6890	0.7943	0.8912
No log	8.5714	180	0.8159	0.6652	0.8159	0.9033
No log	8.6667	182	0.8013	0.6821	0.8013	0.8952
No log	8.7619	184	0.7673	0.6826	0.7673	0.8760
No log	8.8571	186	0.7581	0.6826	0.7581	0.8707
No log	8.9524	188	0.7544	0.6751	0.7544	0.8686
No log	9.0476	190	0.7621	0.6751	0.7621	0.8730
No log	9.1429	192	0.7551	0.6751	0.7551	0.8689
No log	9.2381	194	0.7405	0.6826	0.7405	0.8605
No log	9.3333	196	0.7235	0.6762	0.7235	0.8506
No log	9.4286	198	0.7024	0.6809	0.7024	0.8381
No log	9.5238	200	0.6952	0.6829	0.6952	0.8338
No log	9.6190	202	0.6973	0.6809	0.6973	0.8351
No log	9.7143	204	0.6980	0.6809	0.6980	0.8355
No log	9.8095	206	0.7010	0.6809	0.7010	0.8372
No log	9.9048	208	0.7052	0.6809	0.7052	0.8398
No log	10.0	210	0.7079	0.6762	0.7079	0.8414

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits4_FineTuningAraBERT_run2_AugV5_k6_task5_organization

ArabicNewSplits4_FineTuningAraBERT_run2_AugV5_k6_task5_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits4_FineTuningAraBERT_run2_AugV5_k6_task5_organization