Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0769	2	5.3867	-0.0138	5.3867	2.3209
No log	0.1538	4	3.2362	0.0775	3.2362	1.7989
No log	0.2308	6	2.2967	-0.0422	2.2967	1.5155
No log	0.3077	8	1.7244	0.0748	1.7244	1.3132
No log	0.3846	10	1.3046	0.2388	1.3046	1.1422
No log	0.4615	12	1.1398	0.3216	1.1398	1.0676
No log	0.5385	14	1.1482	0.3539	1.1482	1.0716
No log	0.6154	16	0.9946	0.3807	0.9946	0.9973
No log	0.6923	18	0.9017	0.3904	0.9017	0.9496
No log	0.7692	20	0.8956	0.4075	0.8956	0.9464
No log	0.8462	22	0.9121	0.4586	0.9121	0.9550
No log	0.9231	24	0.8236	0.4644	0.8236	0.9075
No log	1.0	26	0.7298	0.6206	0.7298	0.8543
No log	1.0769	28	0.7862	0.6335	0.7862	0.8867
No log	1.1538	30	0.6821	0.6220	0.6821	0.8259
No log	1.2308	32	1.0375	0.5475	1.0375	1.0186
No log	1.3077	34	1.4139	0.4534	1.4139	1.1891
No log	1.3846	36	1.1562	0.5028	1.1562	1.0752
No log	1.4615	38	0.7022	0.6103	0.7022	0.8380
No log	1.5385	40	0.6920	0.6924	0.6920	0.8319
No log	1.6154	42	0.7913	0.6516	0.7913	0.8896
No log	1.6923	44	0.6590	0.7108	0.6590	0.8118
No log	1.7692	46	0.6455	0.6984	0.6455	0.8034
No log	1.8462	48	0.6627	0.7029	0.6627	0.8141
No log	1.9231	50	0.6406	0.6931	0.6406	0.8004
No log	2.0	52	0.6464	0.6869	0.6464	0.8040
No log	2.0769	54	0.7453	0.6661	0.7453	0.8633
No log	2.1538	56	0.8812	0.5597	0.8812	0.9387
No log	2.2308	58	0.8968	0.5789	0.8968	0.9470
No log	2.3077	60	0.8648	0.6221	0.8648	0.9299
No log	2.3846	62	0.7605	0.6875	0.7605	0.8721
No log	2.4615	64	0.6886	0.7268	0.6886	0.8298
No log	2.5385	66	0.6715	0.7307	0.6715	0.8195
No log	2.6154	68	0.7494	0.7167	0.7494	0.8657
No log	2.6923	70	0.7840	0.6760	0.7840	0.8854
No log	2.7692	72	0.7283	0.7276	0.7283	0.8534
No log	2.8462	74	0.6564	0.7142	0.6564	0.8102
No log	2.9231	76	0.7593	0.6590	0.7593	0.8714
No log	3.0	78	0.8701	0.6332	0.8701	0.9328
No log	3.0769	80	0.8198	0.6482	0.8198	0.9054
No log	3.1538	82	0.6549	0.7033	0.6549	0.8093
No log	3.2308	84	0.8655	0.6235	0.8655	0.9303
No log	3.3077	86	1.1882	0.5097	1.1882	1.0900
No log	3.3846	88	1.1361	0.5191	1.1361	1.0659
No log	3.4615	90	0.8438	0.6581	0.8438	0.9186
No log	3.5385	92	0.6254	0.7177	0.6254	0.7908
No log	3.6154	94	0.7403	0.6615	0.7403	0.8604
No log	3.6923	96	0.8026	0.6399	0.8026	0.8959
No log	3.7692	98	0.6878	0.6937	0.6878	0.8293
No log	3.8462	100	0.6113	0.7343	0.6113	0.7818
No log	3.9231	102	0.8241	0.6503	0.8241	0.9078
No log	4.0	104	1.1597	0.5264	1.1597	1.0769
No log	4.0769	106	1.3291	0.4576	1.3291	1.1529
No log	4.1538	108	1.2193	0.4961	1.2193	1.1042
No log	4.2308	110	0.8963	0.5744	0.8963	0.9467
No log	4.3077	112	0.6336	0.6953	0.6336	0.7960
No log	4.3846	114	0.5925	0.7033	0.5925	0.7697
No log	4.4615	116	0.5927	0.7248	0.5927	0.7699
No log	4.5385	118	0.5873	0.7378	0.5873	0.7664
No log	4.6154	120	0.6686	0.7095	0.6686	0.8177
No log	4.6923	122	0.8697	0.6231	0.8697	0.9326
No log	4.7692	124	0.9875	0.5989	0.9875	0.9937
No log	4.8462	126	0.9081	0.6289	0.9081	0.9529
No log	4.9231	128	0.7281	0.7056	0.7281	0.8533
No log	5.0	130	0.6917	0.7390	0.6917	0.8317
No log	5.0769	132	0.7555	0.7015	0.7555	0.8692
No log	5.1538	134	0.7283	0.7242	0.7283	0.8534
No log	5.2308	136	0.6998	0.7131	0.6998	0.8365
No log	5.3077	138	0.8043	0.6683	0.8043	0.8968
No log	5.3846	140	0.8891	0.6491	0.8891	0.9429
No log	5.4615	142	0.8158	0.6747	0.8158	0.9032
No log	5.5385	144	0.7265	0.6791	0.7265	0.8524
No log	5.6154	146	0.7177	0.6809	0.7177	0.8472
No log	5.6923	148	0.7071	0.6827	0.7071	0.8409
No log	5.7692	150	0.6802	0.6745	0.6802	0.8248
No log	5.8462	152	0.6721	0.6991	0.6721	0.8198
No log	5.9231	154	0.6791	0.6989	0.6791	0.8241
No log	6.0	156	0.6687	0.7097	0.6687	0.8177
No log	6.0769	158	0.6645	0.7035	0.6645	0.8152
No log	6.1538	160	0.6672	0.7108	0.6672	0.8168
No log	6.2308	162	0.6608	0.7067	0.6608	0.8129
No log	6.3077	164	0.6505	0.7228	0.6505	0.8066
No log	6.3846	166	0.6518	0.6878	0.6518	0.8073
No log	6.4615	168	0.6592	0.6857	0.6592	0.8119
No log	6.5385	170	0.6864	0.7102	0.6864	0.8285
No log	6.6154	172	0.7238	0.7044	0.7238	0.8507
No log	6.6923	174	0.7337	0.7044	0.7337	0.8566
No log	6.7692	176	0.7006	0.7000	0.7006	0.8370
No log	6.8462	178	0.6681	0.6922	0.6681	0.8174
No log	6.9231	180	0.6663	0.6973	0.6663	0.8162
No log	7.0	182	0.6736	0.6930	0.6736	0.8207
No log	7.0769	184	0.6823	0.7067	0.6823	0.8260
No log	7.1538	186	0.6745	0.7068	0.6745	0.8213
No log	7.2308	188	0.6803	0.6947	0.6803	0.8248
No log	7.3077	190	0.7187	0.6812	0.7187	0.8478
No log	7.3846	192	0.7913	0.6654	0.7913	0.8895
No log	7.4615	194	0.8202	0.6782	0.8202	0.9057
No log	7.5385	196	0.7939	0.6620	0.7939	0.8910
No log	7.6154	198	0.7479	0.6912	0.7479	0.8648
No log	7.6923	200	0.6999	0.6978	0.6999	0.8366
No log	7.7692	202	0.6811	0.7102	0.6811	0.8253
No log	7.8462	204	0.6716	0.7042	0.6716	0.8195
No log	7.9231	206	0.6696	0.7072	0.6696	0.8183
No log	8.0	208	0.6914	0.7057	0.6914	0.8315
No log	8.0769	210	0.7150	0.7109	0.7150	0.8456
No log	8.1538	212	0.7133	0.7109	0.7133	0.8445
No log	8.2308	214	0.7184	0.7007	0.7184	0.8476
No log	8.3077	216	0.7407	0.6873	0.7407	0.8607
No log	8.3846	218	0.7580	0.6854	0.7580	0.8706
No log	8.4615	220	0.7719	0.6836	0.7719	0.8786
No log	8.5385	222	0.7608	0.6854	0.7608	0.8723
No log	8.6154	224	0.7400	0.6899	0.7400	0.8602
No log	8.6923	226	0.7325	0.6962	0.7325	0.8558
No log	8.7692	228	0.7124	0.7085	0.7124	0.8440
No log	8.8462	230	0.6899	0.7029	0.6899	0.8306
No log	8.9231	232	0.6828	0.7011	0.6828	0.8263
No log	9.0	234	0.6760	0.6947	0.6760	0.8222
No log	9.0769	236	0.6727	0.6909	0.6727	0.8202
No log	9.1538	238	0.6760	0.6986	0.6760	0.8222
No log	9.2308	240	0.6867	0.7264	0.6867	0.8287
No log	9.3077	242	0.7082	0.7085	0.7082	0.8415
No log	9.3846	244	0.7289	0.7085	0.7289	0.8537
No log	9.4615	246	0.7492	0.7024	0.7492	0.8656
No log	9.5385	248	0.7614	0.6917	0.7614	0.8726
No log	9.6154	250	0.7753	0.6929	0.7753	0.8805
No log	9.6923	252	0.7814	0.6859	0.7814	0.8840
No log	9.7692	254	0.7812	0.6859	0.7812	0.8838
No log	9.8462	256	0.7773	0.6929	0.7773	0.8817
No log	9.9231	258	0.7739	0.6917	0.7739	0.8797
No log	10.0	260	0.7719	0.6917	0.7719	0.8786

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits4_FineTuningAraBERT_run3_AugV5_k5_task1_organization

ArabicNewSplits4_FineTuningAraBERT_run3_AugV5_k5_task1_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits4_FineTuningAraBERT_run3_AugV5_k5_task1_organization