Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0952	2	4.8861	0.0334	4.8861	2.2104
No log	0.1905	4	2.8820	0.1600	2.8820	1.6977
No log	0.2857	6	1.8061	0.2159	1.8061	1.3439
No log	0.3810	8	1.5649	0.0742	1.5649	1.2509
No log	0.4762	10	1.3106	0.2509	1.3106	1.1448
No log	0.5714	12	1.4856	0.0	1.4856	1.2189
No log	0.6667	14	1.5347	0.0	1.5347	1.2388
No log	0.7619	16	1.3902	0.1765	1.3902	1.1791
No log	0.8571	18	1.3008	0.4059	1.3008	1.1405
No log	0.9524	20	1.2839	0.4867	1.2839	1.1331
No log	1.0476	22	1.3939	0.5106	1.3939	1.1806
No log	1.1429	24	1.1802	0.5096	1.1802	1.0863
No log	1.2381	26	1.0838	0.3511	1.0838	1.0410
No log	1.3333	28	1.1481	0.2939	1.1481	1.0715
No log	1.4286	30	1.1626	0.1913	1.1626	1.0783
No log	1.5238	32	1.1244	0.4296	1.1244	1.0604
No log	1.6190	34	1.0018	0.4830	1.0018	1.0009
No log	1.7143	36	0.9141	0.5085	0.9141	0.9561
No log	1.8095	38	0.9155	0.5313	0.9155	0.9568
No log	1.9048	40	0.8475	0.5086	0.8475	0.9206
No log	2.0	42	0.8575	0.7232	0.8575	0.9260
No log	2.0952	44	0.9118	0.6447	0.9118	0.9549
No log	2.1905	46	0.9565	0.6932	0.9565	0.9780
No log	2.2857	48	1.0400	0.4247	1.0400	1.0198
No log	2.3810	50	1.1177	0.4447	1.1177	1.0572
No log	2.4762	52	1.1567	0.4417	1.1567	1.0755
No log	2.5714	54	1.0938	0.4447	1.0938	1.0459
No log	2.6667	56	0.9590	0.6291	0.9590	0.9793
No log	2.7619	58	0.9155	0.7128	0.9155	0.9568
No log	2.8571	60	0.9102	0.7529	0.9102	0.9541
No log	2.9524	62	0.8276	0.7608	0.8276	0.9097
No log	3.0476	64	0.7790	0.6406	0.7790	0.8826
No log	3.1429	66	0.8548	0.5647	0.8548	0.9246
No log	3.2381	68	0.8646	0.6265	0.8646	0.9298
No log	3.3333	70	0.9379	0.5608	0.9379	0.9685
No log	3.4286	72	0.9307	0.5385	0.9307	0.9647
No log	3.5238	74	0.8391	0.6115	0.8391	0.9160
No log	3.6190	76	0.7760	0.6266	0.7760	0.8809
No log	3.7143	78	0.7447	0.6818	0.7447	0.8630
No log	3.8095	80	0.7437	0.7176	0.7437	0.8624
No log	3.9048	82	0.7374	0.6888	0.7374	0.8587
No log	4.0	84	0.7344	0.7346	0.7344	0.8570
No log	4.0952	86	0.7422	0.7346	0.7422	0.8615
No log	4.1905	88	0.7583	0.7441	0.7583	0.8708
No log	4.2857	90	0.7742	0.6356	0.7742	0.8799
No log	4.3810	92	0.7989	0.6569	0.7989	0.8938
No log	4.4762	94	0.8459	0.5876	0.8459	0.9197
No log	4.5714	96	0.8336	0.5876	0.8336	0.9130
No log	4.6667	98	0.8897	0.5547	0.8897	0.9432
No log	4.7619	100	0.8715	0.5547	0.8715	0.9335
No log	4.8571	102	0.8367	0.6182	0.8367	0.9147
No log	4.9524	104	0.8500	0.5876	0.8500	0.9219
No log	5.0476	106	0.8426	0.5876	0.8426	0.9179
No log	5.1429	108	0.8034	0.7119	0.8034	0.8963
No log	5.2381	110	0.8379	0.7119	0.8379	0.9154
No log	5.3333	112	0.9364	0.6425	0.9364	0.9677
No log	5.4286	114	0.9869	0.5850	0.9869	0.9934
No log	5.5238	116	0.9236	0.6425	0.9236	0.9611
No log	5.6190	118	0.8522	0.6893	0.8522	0.9231
No log	5.7143	120	0.8506	0.6893	0.8506	0.9223
No log	5.8095	122	0.9137	0.5563	0.9137	0.9559
No log	5.9048	124	0.9297	0.5563	0.9297	0.9642
No log	6.0	126	0.9125	0.5374	0.9125	0.9553
No log	6.0952	128	0.8495	0.5563	0.8495	0.9217
No log	6.1905	130	0.7390	0.6686	0.7390	0.8597
No log	6.2857	132	0.6948	0.7435	0.6948	0.8335
No log	6.3810	134	0.7212	0.7258	0.7212	0.8492
No log	6.4762	136	0.7205	0.7258	0.7205	0.8488
No log	6.5714	138	0.6952	0.7704	0.6952	0.8338
No log	6.6667	140	0.7070	0.7063	0.7070	0.8408
No log	6.7619	142	0.7706	0.6121	0.7706	0.8778
No log	6.8571	144	0.8622	0.5374	0.8622	0.9286
No log	6.9524	146	0.9001	0.5889	0.9001	0.9487
No log	7.0476	148	0.8536	0.5374	0.8536	0.9239
No log	7.1429	150	0.7634	0.5973	0.7634	0.8737
No log	7.2381	152	0.7218	0.6940	0.7218	0.8496
No log	7.3333	154	0.7086	0.6997	0.7086	0.8418
No log	7.4286	156	0.7305	0.7439	0.7305	0.8547
No log	7.5238	158	0.7376	0.7181	0.7376	0.8589
No log	7.6190	160	0.7321	0.6703	0.7321	0.8556
No log	7.7143	162	0.7364	0.6799	0.7364	0.8581
No log	7.8095	164	0.7918	0.6631	0.7918	0.8898
No log	7.9048	166	0.8771	0.5903	0.8771	0.9366
No log	8.0	168	0.9286	0.6115	0.9286	0.9636
No log	8.0952	170	0.9260	0.6115	0.9260	0.9623
No log	8.1905	172	0.9016	0.5903	0.9016	0.9495
No log	8.2857	174	0.8666	0.5903	0.8666	0.9309
No log	8.3810	176	0.8362	0.6631	0.8362	0.9145
No log	8.4762	178	0.8282	0.6631	0.8282	0.9101
No log	8.5714	180	0.8265	0.6631	0.8265	0.9091
No log	8.6667	182	0.8129	0.6893	0.8129	0.9016
No log	8.7619	184	0.7969	0.6893	0.7969	0.8927
No log	8.8571	186	0.7904	0.6893	0.7904	0.8891
No log	8.9524	188	0.7911	0.6893	0.7911	0.8894
No log	9.0476	190	0.7851	0.6631	0.7851	0.8860
No log	9.1429	192	0.7719	0.6631	0.7719	0.8786
No log	9.2381	194	0.7582	0.6631	0.7582	0.8708
No log	9.3333	196	0.7545	0.6631	0.7545	0.8686
No log	9.4286	198	0.7472	0.6631	0.7472	0.8644
No log	9.5238	200	0.7405	0.6631	0.7405	0.8605
No log	9.6190	202	0.7350	0.6631	0.7350	0.8573
No log	9.7143	204	0.7321	0.6631	0.7321	0.8556
No log	9.8095	206	0.7320	0.6631	0.7320	0.8556
No log	9.9048	208	0.7323	0.6631	0.7323	0.8557
No log	10.0	210	0.7330	0.6631	0.7330	0.8562

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/Arabic_FineTuningAraBERT_run3_AugV5_k1_task1_organization_fold0

Arabic_FineTuningAraBERT_run3_AugV5_k1_task1_organization_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
Arabic_FineTuningAraBERT_run3_AugV5_k1_task1_organization_fold0