Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0952	2	3.9066	-0.0187	3.9066	1.9765
No log	0.1905	4	2.3938	0.0769	2.3938	1.5472
No log	0.2857	6	1.2051	0.0569	1.2051	1.0978
No log	0.3810	8	1.1134	0.0280	1.1134	1.0552
No log	0.4762	10	1.1142	-0.0691	1.1142	1.0556
No log	0.5714	12	0.9325	-0.1119	0.9325	0.9657
No log	0.6667	14	1.0086	-0.1331	1.0086	1.0043
No log	0.7619	16	1.4589	-0.0000	1.4589	1.2079
No log	0.8571	18	1.6119	0.0197	1.6119	1.2696
No log	0.9524	20	1.0767	0.0067	1.0767	1.0376
No log	1.0476	22	0.8162	-0.0401	0.8162	0.9034
No log	1.1429	24	0.7661	0.0314	0.7661	0.8753
No log	1.2381	26	0.7397	0.1648	0.7397	0.8601
No log	1.3333	28	0.7075	0.1314	0.7075	0.8411
No log	1.4286	30	0.6992	0.1241	0.6992	0.8362
No log	1.5238	32	0.7046	0.2069	0.7046	0.8394
No log	1.6190	34	0.7001	0.2203	0.7001	0.8367
No log	1.7143	36	0.7124	0.1837	0.7124	0.8441
No log	1.8095	38	0.7461	0.1571	0.7461	0.8637
No log	1.9048	40	0.7330	0.2014	0.7330	0.8562
No log	2.0	42	0.7097	0.3223	0.7097	0.8424
No log	2.0952	44	0.6770	0.3716	0.6770	0.8228
No log	2.1905	46	0.6942	0.2581	0.6942	0.8332
No log	2.2857	48	0.6936	0.2742	0.6936	0.8328
No log	2.3810	50	0.6592	0.3931	0.6592	0.8119
No log	2.4762	52	0.6300	0.3327	0.6300	0.7937
No log	2.5714	54	0.6332	0.4137	0.6332	0.7957
No log	2.6667	56	0.6280	0.4224	0.6280	0.7925
No log	2.7619	58	0.6348	0.3845	0.6348	0.7967
No log	2.8571	60	0.6169	0.4281	0.6169	0.7854
No log	2.9524	62	0.6215	0.4514	0.6215	0.7884
No log	3.0476	64	0.6958	0.3420	0.6958	0.8341
No log	3.1429	66	0.7363	0.3159	0.7363	0.8581
No log	3.2381	68	0.6469	0.4053	0.6469	0.8043
No log	3.3333	70	0.6308	0.3990	0.6308	0.7942
No log	3.4286	72	0.6087	0.4250	0.6087	0.7802
No log	3.5238	74	0.6260	0.4250	0.6260	0.7912
No log	3.6190	76	0.6743	0.3664	0.6743	0.8211
No log	3.7143	78	0.6386	0.3999	0.6386	0.7991
No log	3.8095	80	0.6375	0.4197	0.6375	0.7984
No log	3.9048	82	0.6365	0.3080	0.6365	0.7978
No log	4.0	84	0.6323	0.3660	0.6323	0.7952
No log	4.0952	86	0.6190	0.4085	0.6190	0.7867
No log	4.1905	88	0.6519	0.4124	0.6519	0.8074
No log	4.2857	90	0.6721	0.3779	0.6721	0.8198
No log	4.3810	92	0.6491	0.4486	0.6491	0.8057
No log	4.4762	94	0.6490	0.4227	0.6490	0.8056
No log	4.5714	96	0.6704	0.3268	0.6704	0.8188
No log	4.6667	98	0.6739	0.3312	0.6739	0.8209
No log	4.7619	100	0.6683	0.3300	0.6683	0.8175
No log	4.8571	102	0.6595	0.3727	0.6595	0.8121
No log	4.9524	104	0.6751	0.4329	0.6751	0.8216
No log	5.0476	106	0.6967	0.4328	0.6967	0.8347
No log	5.1429	108	0.7172	0.4327	0.7172	0.8469
No log	5.2381	110	0.7098	0.4613	0.7098	0.8425
No log	5.3333	112	0.7114	0.4461	0.7114	0.8434
No log	5.4286	114	0.7162	0.4603	0.7162	0.8463
No log	5.5238	116	0.7241	0.4594	0.7241	0.8510
No log	5.6190	118	0.7266	0.4545	0.7266	0.8524
No log	5.7143	120	0.7335	0.4545	0.7335	0.8565
No log	5.8095	122	0.7478	0.4382	0.7478	0.8648
No log	5.9048	124	0.7583	0.4439	0.7583	0.8708
No log	6.0	126	0.7821	0.4139	0.7821	0.8844
No log	6.0952	128	0.7915	0.4145	0.7915	0.8896
No log	6.1905	130	0.7974	0.4276	0.7974	0.8930
No log	6.2857	132	0.8040	0.4033	0.8040	0.8966
No log	6.3810	134	0.8317	0.4326	0.8317	0.9120
No log	6.4762	136	0.8587	0.4374	0.8587	0.9267
No log	6.5714	138	0.8493	0.4145	0.8493	0.9216
No log	6.6667	140	0.8522	0.4587	0.8522	0.9232
No log	6.7619	142	0.8956	0.4831	0.8956	0.9464
No log	6.8571	144	0.9153	0.4585	0.9153	0.9567
No log	6.9524	146	0.8783	0.4886	0.8783	0.9372
No log	7.0476	148	0.8626	0.4443	0.8626	0.9288
No log	7.1429	150	0.8558	0.4367	0.8558	0.9251
No log	7.2381	152	0.8518	0.4435	0.8518	0.9229
No log	7.3333	154	0.8505	0.4859	0.8505	0.9222
No log	7.4286	156	0.8561	0.4706	0.8561	0.9252
No log	7.5238	158	0.8604	0.4544	0.8604	0.9276
No log	7.6190	160	0.8494	0.4910	0.8494	0.9216
No log	7.7143	162	0.8547	0.4457	0.8547	0.9245
No log	7.8095	164	0.8574	0.4475	0.8574	0.9260
No log	7.9048	166	0.8577	0.4782	0.8577	0.9261
No log	8.0	168	0.8601	0.4725	0.8601	0.9274
No log	8.0952	170	0.8647	0.4669	0.8647	0.9299
No log	8.1905	172	0.8713	0.4129	0.8713	0.9334
No log	8.2857	174	0.8924	0.4145	0.8924	0.9447
No log	8.3810	176	0.9002	0.4146	0.9002	0.9488
No log	8.4762	178	0.8895	0.4112	0.8895	0.9432
No log	8.5714	180	0.8851	0.4275	0.8851	0.9408
No log	8.6667	182	0.8899	0.4275	0.8899	0.9433
No log	8.7619	184	0.8973	0.4204	0.8973	0.9472
No log	8.8571	186	0.9024	0.4256	0.9024	0.9499
No log	8.9524	188	0.9013	0.4256	0.9013	0.9493
No log	9.0476	190	0.9014	0.4256	0.9014	0.9494
No log	9.1429	192	0.9019	0.4256	0.9019	0.9497
No log	9.2381	194	0.8997	0.4256	0.8997	0.9485
No log	9.3333	196	0.8969	0.4101	0.8969	0.9471
No log	9.4286	198	0.8952	0.4170	0.8952	0.9461
No log	9.5238	200	0.8936	0.4293	0.8936	0.9453
No log	9.6190	202	0.8929	0.4241	0.8929	0.9449
No log	9.7143	204	0.8932	0.4241	0.8932	0.9451
No log	9.8095	206	0.8942	0.4383	0.8942	0.9456
No log	9.9048	208	0.8947	0.4399	0.8947	0.9459
No log	10.0	210	0.8947	0.4399	0.8947	0.9459

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits4_FineTuningAraBERT_run1_AugV5_k4_task2_organization

ArabicNewSplits4_FineTuningAraBERT_run1_AugV5_k4_task2_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits4_FineTuningAraBERT_run1_AugV5_k4_task2_organization