Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0833	2	3.2411	0.0	3.2411	1.8003
No log	0.1667	4	2.2391	0.0172	2.2391	1.4964
No log	0.25	6	1.0841	0.0	1.0841	1.0412
No log	0.3333	8	1.5102	-0.0096	1.5102	1.2289
No log	0.4167	10	1.2174	0.0	1.2174	1.1034
No log	0.5	12	0.7355	0.0993	0.7355	0.8576
No log	0.5833	14	0.7776	-0.1608	0.7776	0.8818
No log	0.6667	16	0.8968	-0.0211	0.8968	0.9470
No log	0.75	18	1.2886	0.0	1.2886	1.1352
No log	0.8333	20	1.4251	0.0	1.4251	1.1938
No log	0.9167	22	1.1716	0.0	1.1716	1.0824
No log	1.0	24	0.8969	0.0	0.8969	0.9470
No log	1.0833	26	0.8432	0.0	0.8432	0.9183
No log	1.1667	28	0.8917	0.0	0.8917	0.9443
No log	1.25	30	0.9587	0.0	0.9587	0.9791
No log	1.3333	32	0.8659	0.0	0.8659	0.9305
No log	1.4167	34	0.6541	0.2821	0.6541	0.8088
No log	1.5	36	0.5962	0.5532	0.5962	0.7721
No log	1.5833	38	0.6354	0.2184	0.6354	0.7971
No log	1.6667	40	0.6830	0.2889	0.6830	0.8265
No log	1.75	42	0.7987	0.0	0.7987	0.8937
No log	1.8333	44	0.9790	0.0	0.9790	0.9894
No log	1.9167	46	1.0301	0.0	1.0301	1.0149
No log	2.0	48	1.0010	0.0	1.0010	1.0005
No log	2.0833	50	0.9381	0.0	0.9381	0.9685
No log	2.1667	52	0.7917	0.1564	0.7917	0.8898
No log	2.25	54	0.6790	0.3581	0.6790	0.8240
No log	2.3333	56	0.5874	0.2889	0.5874	0.7664
No log	2.4167	58	0.5668	0.2889	0.5668	0.7528
No log	2.5	60	0.5751	0.3546	0.5751	0.7584
No log	2.5833	62	0.6011	0.2184	0.6011	0.7753
No log	2.6667	64	0.6026	0.1765	0.6026	0.7763
No log	2.75	66	0.6446	0.1192	0.6446	0.8029
No log	2.8333	68	0.8726	0.1923	0.8726	0.9341
No log	2.9167	70	0.8874	0.1923	0.8874	0.9420
No log	3.0	72	0.7115	0.2821	0.7115	0.8435
No log	3.0833	74	0.5889	0.2150	0.5889	0.7674
No log	3.1667	76	0.6702	0.1340	0.6702	0.8187
No log	3.25	78	0.7185	0.0679	0.7185	0.8477
No log	3.3333	80	0.6995	0.0258	0.6995	0.8363
No log	3.4167	82	0.7038	0.0258	0.7038	0.8389
No log	3.5	84	0.7427	0.0258	0.7427	0.8618
No log	3.5833	86	0.7519	0.0258	0.7519	0.8671
No log	3.6667	88	0.7851	0.0679	0.7851	0.8860
No log	3.75	90	0.7700	0.0679	0.7700	0.8775
No log	3.8333	92	0.6853	0.0679	0.6853	0.8278
No log	3.9167	94	0.6330	0.0099	0.6330	0.7956
No log	4.0	96	0.6074	0.1356	0.6074	0.7794
No log	4.0833	98	0.5973	0.1356	0.5973	0.7729
No log	4.1667	100	0.5930	0.1558	0.5930	0.7701
No log	4.25	102	0.5806	0.1558	0.5806	0.7619
No log	4.3333	104	0.5697	0.1558	0.5697	0.7548
No log	4.4167	106	0.5419	0.2373	0.5419	0.7361
No log	4.5	108	0.5255	0.3546	0.5255	0.7249
No log	4.5833	110	0.5246	0.2613	0.5246	0.7243
No log	4.6667	112	0.6216	0.2588	0.6216	0.7884
No log	4.75	114	0.7616	0.2000	0.7616	0.8727
No log	4.8333	116	0.8670	0.3107	0.8670	0.9311
No log	4.9167	118	0.8878	0.2566	0.8878	0.9422
No log	5.0	120	0.7945	0.2000	0.7945	0.8914
No log	5.0833	122	0.6920	0.2000	0.6920	0.8318
No log	5.1667	124	0.5619	0.3053	0.5619	0.7496
No log	5.25	126	0.5329	0.2553	0.5329	0.7300
No log	5.3333	128	0.5283	0.2553	0.5283	0.7269
No log	5.4167	130	0.5274	0.3824	0.5274	0.7262
No log	5.5	132	0.5278	0.3824	0.5278	0.7265
No log	5.5833	134	0.5488	0.3668	0.5488	0.7408
No log	5.6667	136	0.5851	0.4154	0.5851	0.7649
No log	5.75	138	0.6339	0.3687	0.6339	0.7962
No log	5.8333	140	0.6111	0.4167	0.6111	0.7817
No log	5.9167	142	0.5519	0.4154	0.5519	0.7429
No log	6.0	144	0.5198	0.3771	0.5198	0.7210
No log	6.0833	146	0.5095	0.3029	0.5095	0.7138
No log	6.1667	148	0.5050	0.4143	0.5050	0.7107
No log	6.25	150	0.5117	0.4143	0.5117	0.7153
No log	6.3333	152	0.5195	0.4143	0.5195	0.7208
No log	6.4167	154	0.5265	0.4596	0.5265	0.7256
No log	6.5	156	0.5329	0.3748	0.5329	0.7300
No log	6.5833	158	0.5364	0.3748	0.5364	0.7324
No log	6.6667	160	0.5357	0.3748	0.5357	0.7319
No log	6.75	162	0.5716	0.5	0.5716	0.7561
No log	6.8333	164	0.6138	0.4913	0.6138	0.7835
No log	6.9167	166	0.6107	0.4913	0.6107	0.7815
No log	7.0	168	0.5460	0.5473	0.5460	0.7389
No log	7.0833	170	0.5024	0.5381	0.5024	0.7088
No log	7.1667	172	0.5313	0.5067	0.5313	0.7289
No log	7.25	174	0.5534	0.4787	0.5534	0.7439
No log	7.3333	176	0.5330	0.5451	0.5330	0.7301
No log	7.4167	178	0.5054	0.5381	0.5054	0.7109
No log	7.5	180	0.4877	0.5381	0.4877	0.6983
No log	7.5833	182	0.4766	0.5381	0.4766	0.6904
No log	7.6667	184	0.4701	0.5992	0.4701	0.6856
No log	7.75	186	0.4673	0.6358	0.4673	0.6836
No log	7.8333	188	0.4636	0.5633	0.4636	0.6809
No log	7.9167	190	0.4627	0.5714	0.4627	0.6802
No log	8.0	192	0.4625	0.5368	0.4625	0.6801
No log	8.0833	194	0.4615	0.5368	0.4615	0.6793
No log	8.1667	196	0.4639	0.5368	0.4639	0.6811
No log	8.25	198	0.4671	0.5444	0.4671	0.6835
No log	8.3333	200	0.4704	0.5451	0.4704	0.6858
No log	8.4167	202	0.4711	0.5451	0.4711	0.6863
No log	8.5	204	0.4677	0.5451	0.4677	0.6839
No log	8.5833	206	0.4648	0.5792	0.4648	0.6818
No log	8.6667	208	0.4619	0.5078	0.4619	0.6796
No log	8.75	210	0.4589	0.4615	0.4589	0.6774
No log	8.8333	212	0.4596	0.4615	0.4596	0.6779
No log	8.9167	214	0.4626	0.4615	0.4626	0.6801
No log	9.0	216	0.4671	0.5078	0.4671	0.6834
No log	9.0833	218	0.4722	0.5078	0.4722	0.6872
No log	9.1667	220	0.4755	0.5078	0.4755	0.6895
No log	9.25	222	0.4775	0.5078	0.4775	0.6910
No log	9.3333	224	0.4793	0.4615	0.4793	0.6923
No log	9.4167	226	0.4816	0.5368	0.4816	0.6940
No log	9.5	228	0.4832	0.5368	0.4832	0.6951
No log	9.5833	230	0.4838	0.5368	0.4838	0.6955
No log	9.6667	232	0.4836	0.5368	0.4836	0.6954
No log	9.75	234	0.4835	0.5368	0.4835	0.6953
No log	9.8333	236	0.4836	0.5368	0.4836	0.6954
No log	9.9167	238	0.4836	0.5368	0.4836	0.6954
No log	10.0	240	0.4835	0.5368	0.4835	0.6953

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/Arabic_FineTuningAraBERT_AugV5_k2_task2_organization_fold0

Arabic_FineTuningAraBERT_AugV5_k2_task2_organization_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
Arabic_FineTuningAraBERT_AugV5_k2_task2_organization_fold0