Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0769	2	2.5115	0.0123	2.5115	1.5848
No log	0.1538	4	1.7082	0.1426	1.7082	1.3070
No log	0.2308	6	1.6179	0.0646	1.6179	1.2720
No log	0.3077	8	1.6751	0.1412	1.6751	1.2943
No log	0.3846	10	1.6139	0.2628	1.6139	1.2704
No log	0.4615	12	1.6487	0.2288	1.6487	1.2840
No log	0.5385	14	1.7479	0.2803	1.7479	1.3221
No log	0.6154	16	1.5804	0.1950	1.5804	1.2572
No log	0.6923	18	1.4669	0.1285	1.4669	1.2112
No log	0.7692	20	1.4658	0.1992	1.4658	1.2107
No log	0.8462	22	1.6097	0.2983	1.6097	1.2687
No log	0.9231	24	1.7390	0.2727	1.7390	1.3187
No log	1.0	26	1.8604	0.2752	1.8604	1.3640
No log	1.0769	28	1.9145	0.2204	1.9145	1.3837
No log	1.1538	30	2.1283	0.2311	2.1283	1.4589
No log	1.2308	32	1.8215	0.2833	1.8215	1.3496
No log	1.3077	34	1.6641	0.3507	1.6641	1.2900
No log	1.3846	36	1.9030	0.2836	1.9030	1.3795
No log	1.4615	38	1.7846	0.3355	1.7846	1.3359
No log	1.5385	40	1.4112	0.3709	1.4112	1.1880
No log	1.6154	42	1.1382	0.4051	1.1382	1.0669
No log	1.6923	44	0.9463	0.5259	0.9463	0.9728
No log	1.7692	46	0.8911	0.5306	0.8911	0.9440
No log	1.8462	48	0.8692	0.5745	0.8692	0.9323
No log	1.9231	50	1.3928	0.4614	1.3928	1.1802
No log	2.0	52	2.3198	0.2369	2.3198	1.5231
No log	2.0769	54	2.4629	0.2179	2.4629	1.5694
No log	2.1538	56	2.0160	0.3258	2.0160	1.4199
No log	2.2308	58	1.2184	0.4912	1.2184	1.1038
No log	2.3077	60	0.8238	0.5860	0.8238	0.9076
No log	2.3846	62	0.7878	0.6292	0.7878	0.8876
No log	2.4615	64	0.7808	0.6076	0.7808	0.8836
No log	2.5385	66	0.9197	0.5785	0.9197	0.9590
No log	2.6154	68	1.2967	0.4771	1.2967	1.1387
No log	2.6923	70	1.6563	0.3929	1.6563	1.2870
No log	2.7692	72	1.5565	0.4128	1.5565	1.2476
No log	2.8462	74	1.2778	0.5288	1.2778	1.1304
No log	2.9231	76	1.0510	0.6001	1.0510	1.0252
No log	3.0	78	0.8550	0.6124	0.8550	0.9246
No log	3.0769	80	0.7577	0.6934	0.7577	0.8705
No log	3.1538	82	0.7912	0.6618	0.7912	0.8895
No log	3.2308	84	0.8868	0.6212	0.8868	0.9417
No log	3.3077	86	0.8974	0.6212	0.8974	0.9473
No log	3.3846	88	0.8794	0.6569	0.8794	0.9378
No log	3.4615	90	0.9637	0.6214	0.9637	0.9817
No log	3.5385	92	0.8997	0.6530	0.8997	0.9485
No log	3.6154	94	0.7462	0.7309	0.7462	0.8638
No log	3.6923	96	0.7231	0.7309	0.7231	0.8503
No log	3.7692	98	0.7485	0.7309	0.7485	0.8652
No log	3.8462	100	0.7856	0.7171	0.7856	0.8863
No log	3.9231	102	0.7649	0.7309	0.7649	0.8746
No log	4.0	104	0.5868	0.7467	0.5868	0.7660
No log	4.0769	106	0.5719	0.7220	0.5719	0.7563
No log	4.1538	108	0.5850	0.7064	0.5850	0.7648
No log	4.2308	110	0.5501	0.7297	0.5501	0.7417
No log	4.3077	112	0.5599	0.7477	0.5599	0.7483
No log	4.3846	114	0.5629	0.7431	0.5629	0.7503
No log	4.4615	116	0.5520	0.7377	0.5520	0.7429
No log	4.5385	118	0.5562	0.7386	0.5562	0.7458
No log	4.6154	120	0.5787	0.7370	0.5787	0.7607
No log	4.6923	122	0.6712	0.7090	0.6712	0.8193
No log	4.7692	124	0.7738	0.6865	0.7738	0.8797
No log	4.8462	126	0.7320	0.6898	0.7320	0.8556
No log	4.9231	128	0.6461	0.6926	0.6461	0.8038
No log	5.0	130	0.6039	0.7177	0.6039	0.7771
No log	5.0769	132	0.6093	0.7177	0.6093	0.7805
No log	5.1538	134	0.6690	0.7240	0.6690	0.8179
No log	5.2308	136	0.8021	0.6939	0.8021	0.8956
No log	5.3077	138	0.8968	0.6713	0.8968	0.9470
No log	5.3846	140	0.9209	0.6704	0.9209	0.9596
No log	5.4615	142	0.9160	0.6696	0.9160	0.9571
No log	5.5385	144	0.8344	0.7021	0.8344	0.9135
No log	5.6154	146	0.7441	0.6996	0.7441	0.8626
No log	5.6923	148	0.6944	0.7078	0.6944	0.8333
No log	5.7692	150	0.6764	0.7124	0.6764	0.8225
No log	5.8462	152	0.6300	0.6978	0.6300	0.7937
No log	5.9231	154	0.6258	0.7000	0.6258	0.7911
No log	6.0	156	0.6572	0.7001	0.6572	0.8107
No log	6.0769	158	0.7152	0.7010	0.7152	0.8457
No log	6.1538	160	0.7831	0.6894	0.7831	0.8849
No log	6.2308	162	0.7434	0.6794	0.7434	0.8622
No log	6.3077	164	0.6715	0.6980	0.6715	0.8194
No log	6.3846	166	0.6584	0.6980	0.6584	0.8114
No log	6.4615	168	0.6628	0.6980	0.6628	0.8141
No log	6.5385	170	0.6645	0.6980	0.6645	0.8152
No log	6.6154	172	0.7181	0.6803	0.7181	0.8474
No log	6.6923	174	0.8247	0.6953	0.8247	0.9081
No log	6.7692	176	1.0064	0.6511	1.0064	1.0032
No log	6.8462	178	1.1066	0.6146	1.1066	1.0520
No log	6.9231	180	1.0516	0.6188	1.0516	1.0255
No log	7.0	182	0.8990	0.6661	0.8990	0.9481
No log	7.0769	184	0.7786	0.6638	0.7786	0.8824
No log	7.1538	186	0.6862	0.6516	0.6862	0.8284
No log	7.2308	188	0.6655	0.6632	0.6655	0.8158
No log	7.3077	190	0.6693	0.6623	0.6693	0.8181
No log	7.3846	192	0.6796	0.6635	0.6796	0.8244
No log	7.4615	194	0.7037	0.7020	0.7037	0.8389
No log	7.5385	196	0.7353	0.6908	0.7353	0.8575
No log	7.6154	198	0.7312	0.6946	0.7312	0.8551
No log	7.6923	200	0.7512	0.6946	0.7512	0.8667
No log	7.7692	202	0.7912	0.6873	0.7912	0.8895
No log	7.8462	204	0.8268	0.6774	0.8268	0.9093
No log	7.9231	206	0.8002	0.6867	0.8002	0.8945
No log	8.0	208	0.7348	0.6946	0.7348	0.8572
No log	8.0769	210	0.6691	0.6964	0.6691	0.8180
No log	8.1538	212	0.6456	0.6960	0.6456	0.8035
No log	8.2308	214	0.6460	0.6960	0.6460	0.8037
No log	8.3077	216	0.6575	0.6848	0.6575	0.8109
No log	8.3846	218	0.6875	0.6974	0.6875	0.8291
No log	8.4615	220	0.7462	0.6946	0.7462	0.8639
No log	8.5385	222	0.8018	0.6759	0.8018	0.8954
No log	8.6154	224	0.8451	0.6723	0.8451	0.9193
No log	8.6923	226	0.8633	0.6784	0.8633	0.9291
No log	8.7692	228	0.8535	0.6723	0.8535	0.9239
No log	8.8462	230	0.8264	0.6714	0.8264	0.9091
No log	8.9231	232	0.7933	0.6769	0.7933	0.8907
No log	9.0	234	0.7788	0.6769	0.7788	0.8825
No log	9.0769	236	0.7636	0.6963	0.7636	0.8739
No log	9.1538	238	0.7530	0.6963	0.7530	0.8677
No log	9.2308	240	0.7447	0.6963	0.7447	0.8630
No log	9.3077	242	0.7404	0.6963	0.7404	0.8605
No log	9.3846	244	0.7348	0.7009	0.7348	0.8572
No log	9.4615	246	0.7392	0.6963	0.7392	0.8598
No log	9.5385	248	0.7411	0.6963	0.7411	0.8608
No log	9.6154	250	0.7456	0.6963	0.7456	0.8635
No log	9.6923	252	0.7444	0.6963	0.7444	0.8628
No log	9.7692	254	0.7409	0.6963	0.7409	0.8608
No log	9.8462	256	0.7399	0.6963	0.7399	0.8602
No log	9.9231	258	0.7403	0.6963	0.7403	0.8604
No log	10.0	260	0.7409	0.6963	0.7409	0.8607

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

MayBashendy/ArabicNewSplits4_FineTuningAraBERT_run1_AugV5_k8_task5_organization

ArabicNewSplits4_FineTuningAraBERT_run1_AugV5_k8_task5_organization

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MayBashendy/
ArabicNewSplits4_FineTuningAraBERT_run1_AugV5_k8_task5_organization