Arabic_FineTuningAraBERT_AugV4-trial2_k2_task1_organization_fold1

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6479
• Qwk: 0.7390
• Mse: 0.6479
• Rmse: 0.8049

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.0444	2	3.0936	0.0535	3.0936	1.7589
No log	0.0889	4	1.5812	-0.0672	1.5812	1.2575
No log	0.1333	6	0.7505	0.1212	0.7505	0.8663
No log	0.1778	8	0.7640	0.6051	0.7640	0.8741
No log	0.2222	10	1.0786	0.2125	1.0786	1.0385
No log	0.2667	12	1.0415	0.3563	1.0415	1.0205
No log	0.3111	14	0.5944	0.5044	0.5944	0.7710
No log	0.3556	16	0.7187	0.4201	0.7187	0.8478
No log	0.4	18	0.5325	0.4474	0.5325	0.7297
No log	0.4444	20	0.6558	0.51	0.6558	0.8098
No log	0.4889	22	0.9806	0.4455	0.9806	0.9902
No log	0.5333	24	1.0506	0.4368	1.0506	1.0250
No log	0.5778	26	0.8678	0.4096	0.8678	0.9315
No log	0.6222	28	0.6718	0.3897	0.6718	0.8197
No log	0.6667	30	0.6200	0.4717	0.6200	0.7874
No log	0.7111	32	0.5349	0.5532	0.5349	0.7314
No log	0.7556	34	0.5505	0.5172	0.5505	0.7420
No log	0.8	36	0.6261	0.5591	0.6261	0.7913
No log	0.8444	38	0.9287	0.6851	0.9287	0.9637
No log	0.8889	40	1.1843	0.7147	1.1843	1.0883
No log	0.9333	42	0.8376	0.7552	0.8376	0.9152
No log	0.9778	44	0.5065	0.6540	0.5065	0.7117
No log	1.0222	46	0.4681	0.6062	0.4681	0.6842
No log	1.0667	48	0.4454	0.6062	0.4454	0.6674
No log	1.1111	50	0.5397	0.7372	0.5397	0.7347
No log	1.1556	52	0.9865	0.7	0.9865	0.9932
No log	1.2	54	1.2991	0.6839	1.2991	1.1398
No log	1.2444	56	1.1028	0.7	1.1028	1.0501
No log	1.2889	58	0.7718	0.7138	0.7718	0.8785
No log	1.3333	60	0.5857	0.7009	0.5857	0.7653
No log	1.3778	62	0.5043	0.6751	0.5043	0.7102
No log	1.4222	64	0.5274	0.6751	0.5274	0.7262
No log	1.4667	66	0.6278	0.6719	0.6278	0.7923
No log	1.5111	68	0.7948	0.7279	0.7948	0.8915
No log	1.5556	70	0.7247	0.6851	0.7247	0.8513
No log	1.6	72	0.5944	0.6776	0.5944	0.7710
No log	1.6444	74	0.6215	0.7111	0.6215	0.7884
No log	1.6889	76	0.6426	0.6918	0.6426	0.8016
No log	1.7333	78	0.6170	0.6789	0.6170	0.7855
No log	1.7778	80	0.5731	0.6490	0.5731	0.7571
No log	1.8222	82	0.5651	0.6167	0.5651	0.7517
No log	1.8667	84	0.5892	0.7701	0.5892	0.7676
No log	1.9111	86	0.5792	0.7407	0.5792	0.7610
No log	1.9556	88	0.6997	0.7892	0.6997	0.8365
No log	2.0	90	0.9112	0.6936	0.9112	0.9546
No log	2.0444	92	1.1582	0.6557	1.1582	1.0762
No log	2.0889	94	0.9782	0.6936	0.9782	0.9890
No log	2.1333	96	0.6711	0.7308	0.6711	0.8192
No log	2.1778	98	0.5175	0.7840	0.5175	0.7194
No log	2.2222	100	0.4991	0.7840	0.4991	0.7065
No log	2.2667	102	0.6537	0.6441	0.6537	0.8085
No log	2.3111	104	1.0720	0.75	1.0720	1.0354
No log	2.3556	106	1.2298	0.7388	1.2298	1.1090
No log	2.4	108	1.0252	0.7154	1.0252	1.0125
No log	2.4444	110	0.6535	0.72	0.6535	0.8084
No log	2.4889	112	0.4594	0.7083	0.4594	0.6778
No log	2.5333	114	0.3551	0.7619	0.3551	0.5959
No log	2.5778	116	0.3586	0.7619	0.3586	0.5988
No log	2.6222	118	0.4895	0.7840	0.4895	0.6997
No log	2.6667	120	0.8257	0.7407	0.8257	0.9087
No log	2.7111	122	0.9099	0.7407	0.9099	0.9539
No log	2.7556	124	0.7306	0.7941	0.7306	0.8548
No log	2.8	126	0.6391	0.7755	0.6391	0.7994
No log	2.8444	128	0.5891	0.7470	0.5891	0.7675
No log	2.8889	130	0.5420	0.7165	0.5420	0.7362
No log	2.9333	132	0.5820	0.7470	0.5820	0.7629
No log	2.9778	134	0.6555	0.7556	0.6555	0.8096
No log	3.0222	136	0.6538	0.7556	0.6538	0.8086
No log	3.0667	138	0.6013	0.7701	0.6013	0.7754
No log	3.1111	140	0.6256	0.7701	0.6256	0.7910
No log	3.1556	142	0.7632	0.7470	0.7632	0.8736
No log	3.2	144	0.7431	0.7667	0.7431	0.8621
No log	3.2444	146	0.6433	0.6527	0.6433	0.8021
No log	3.2889	148	0.6175	0.6480	0.6175	0.7858
No log	3.3333	150	0.6131	0.7407	0.6131	0.7830
No log	3.3778	152	0.7499	0.6776	0.7499	0.8660
No log	3.4222	154	0.9000	0.6691	0.9000	0.9487
No log	3.4667	156	0.8301	0.6978	0.8301	0.9111
No log	3.5111	158	0.5912	0.7103	0.5912	0.7689
No log	3.5556	160	0.5163	0.6894	0.5163	0.7185
No log	3.6	162	0.5182	0.7021	0.5182	0.7198
No log	3.6444	164	0.6091	0.7042	0.6091	0.7804
No log	3.6889	166	0.8286	0.6691	0.8286	0.9103
No log	3.7333	168	0.8981	0.6912	0.8981	0.9477
No log	3.7778	170	0.8358	0.6475	0.8358	0.9142
No log	3.8222	172	0.8260	0.6851	0.8260	0.9088
No log	3.8667	174	0.7376	0.7055	0.7376	0.8588
No log	3.9111	176	0.6743	0.7660	0.6743	0.8211
No log	3.9556	178	0.7112	0.7660	0.7112	0.8433
No log	4.0	180	0.8755	0.6851	0.8755	0.9357
No log	4.0444	182	0.9757	0.7619	0.9757	0.9878
No log	4.0889	184	0.9356	0.7619	0.9356	0.9673
No log	4.1333	186	0.6926	0.7756	0.6926	0.8322
No log	4.1778	188	0.5585	0.7442	0.5585	0.7473
No log	4.2222	190	0.5327	0.7442	0.5327	0.7298
No log	4.2667	192	0.5420	0.7442	0.5420	0.7362
No log	4.3111	194	0.5895	0.7756	0.5895	0.7678
No log	4.3556	196	0.7837	0.7508	0.7837	0.8853
No log	4.4	198	0.8694	0.7508	0.8694	0.9324
No log	4.4444	200	0.7923	0.7508	0.7923	0.8901
No log	4.4889	202	0.6802	0.7508	0.6802	0.8248
No log	4.5333	204	0.5874	0.7651	0.5874	0.7664
No log	4.5778	206	0.5541	0.7651	0.5541	0.7444
No log	4.6222	208	0.6135	0.7508	0.6135	0.7833
No log	4.6667	210	0.6457	0.7508	0.6457	0.8036
No log	4.7111	212	0.6241	0.7423	0.6241	0.7900
No log	4.7556	214	0.6275	0.7556	0.6275	0.7922
No log	4.8	216	0.5903	0.8119	0.5903	0.7683
No log	4.8444	218	0.6429	0.7556	0.6429	0.8018
No log	4.8889	220	0.8524	0.8182	0.8524	0.9233
No log	4.9333	222	0.9941	0.8182	0.9941	0.9970
No log	4.9778	224	1.1285	0.7682	1.1285	1.0623
No log	5.0222	226	0.9966	0.7835	0.9966	0.9983
No log	5.0667	228	0.7130	0.7921	0.7130	0.8444
No log	5.1111	230	0.4722	0.7635	0.4722	0.6872
No log	5.1556	232	0.3973	0.7298	0.3973	0.6303
No log	5.2	234	0.4260	0.7298	0.4260	0.6527
No log	5.2444	236	0.5369	0.7317	0.5369	0.7328
No log	5.2889	238	0.7463	0.7336	0.7463	0.8639
No log	5.3333	240	1.0427	0.7835	1.0427	1.0211
No log	5.3778	242	1.1381	0.7835	1.1381	1.0668
No log	5.4222	244	1.0315	0.7835	1.0315	1.0157
No log	5.4667	246	0.8190	0.7336	0.8190	0.9050
No log	5.5111	248	0.6333	0.7508	0.6333	0.7958
No log	5.5556	250	0.5988	0.7111	0.5988	0.7738
No log	5.6	252	0.6143	0.7111	0.6143	0.7838
No log	5.6444	254	0.6902	0.7423	0.6902	0.8308
No log	5.6889	256	0.7687	0.7508	0.7687	0.8767
No log	5.7333	258	0.8131	0.7508	0.8131	0.9017
No log	5.7778	260	0.8370	0.7123	0.8370	0.9149
No log	5.8222	262	0.8030	0.7508	0.8030	0.8961
No log	5.8667	264	0.7342	0.7423	0.7342	0.8569
No log	5.9111	266	0.5823	0.7701	0.5823	0.7631
No log	5.9556	268	0.4959	0.7701	0.4959	0.7042
No log	6.0	270	0.5064	0.7701	0.5064	0.7116
No log	6.0444	272	0.5502	0.7701	0.5502	0.7418
No log	6.0889	274	0.6633	0.7470	0.6633	0.8144
No log	6.1333	276	0.7941	0.7423	0.7941	0.8911
No log	6.1778	278	0.8693	0.7063	0.8693	0.9324
No log	6.2222	280	0.8540	0.7063	0.8540	0.9241
No log	6.2667	282	0.7325	0.7336	0.7325	0.8558
No log	6.3111	284	0.6224	0.7181	0.6224	0.7890
No log	6.3556	286	0.5378	0.7111	0.5378	0.7334
No log	6.4	288	0.5179	0.7358	0.5179	0.7196
No log	6.4444	290	0.5736	0.7111	0.5736	0.7573
No log	6.4889	292	0.7018	0.7616	0.7018	0.8378
No log	6.5333	294	0.7965	0.7712	0.7965	0.8925
No log	6.5778	296	0.7783	0.7712	0.7783	0.8822
No log	6.6222	298	0.7714	0.7712	0.7714	0.8783
No log	6.6667	300	0.6733	0.7712	0.6733	0.8206
No log	6.7111	302	0.5652	0.7111	0.5652	0.7518
No log	6.7556	304	0.5270	0.7358	0.5270	0.7259
No log	6.8	306	0.5700	0.7111	0.5700	0.7550
No log	6.8444	308	0.5859	0.7308	0.5859	0.7655
No log	6.8889	310	0.5868	0.7308	0.5868	0.7660
No log	6.9333	312	0.6444	0.7308	0.6444	0.8028
No log	6.9778	314	0.7491	0.7812	0.7491	0.8655
No log	7.0222	316	0.8528	0.7667	0.8528	0.9235
No log	7.0667	318	0.8941	0.7619	0.8941	0.9456
No log	7.1111	320	0.8267	0.7667	0.8267	0.9092
No log	7.1556	322	0.7637	0.7812	0.7637	0.8739
No log	7.2	324	0.7661	0.7812	0.7661	0.8753
No log	7.2444	326	0.7660	0.7812	0.7660	0.8752
No log	7.2889	328	0.7335	0.7812	0.7335	0.8565
No log	7.3333	330	0.7283	0.7812	0.7283	0.8534
No log	7.3778	332	0.7050	0.7812	0.7050	0.8397
No log	7.4222	334	0.6808	0.7123	0.6808	0.8251
No log	7.4667	336	0.6910	0.72	0.6910	0.8313
No log	7.5111	338	0.7104	0.7552	0.7104	0.8428
No log	7.5556	340	0.7600	0.7279	0.7600	0.8718
No log	7.6	342	0.8177	0.7279	0.8177	0.9043
No log	7.6444	344	0.8233	0.7279	0.8233	0.9074
No log	7.6889	346	0.7455	0.7667	0.7455	0.8634
No log	7.7333	348	0.6825	0.7921	0.6825	0.8262
No log	7.7778	350	0.6387	0.7111	0.6387	0.7992
No log	7.8222	352	0.6213	0.7111	0.6213	0.7882
No log	7.8667	354	0.6104	0.7111	0.6104	0.7813
No log	7.9111	356	0.6131	0.7111	0.6131	0.7830
No log	7.9556	358	0.6103	0.7111	0.6103	0.7812
No log	8.0	360	0.5798	0.7111	0.5798	0.7615
No log	8.0444	362	0.5539	0.7111	0.5539	0.7443
No log	8.0889	364	0.5522	0.7111	0.5522	0.7431
No log	8.1333	366	0.5833	0.7111	0.5833	0.7638
No log	8.1778	368	0.5982	0.7470	0.5982	0.7734
No log	8.2222	370	0.6293	0.7470	0.6293	0.7933
No log	8.2667	372	0.6434	0.7470	0.6434	0.8021
No log	8.3111	374	0.6544	0.7470	0.6544	0.8090
No log	8.3556	376	0.6369	0.7470	0.6369	0.7981
No log	8.4	378	0.6097	0.7470	0.6097	0.7808
No log	8.4444	380	0.5876	0.7470	0.5876	0.7666
No log	8.4889	382	0.5832	0.7470	0.5832	0.7637
No log	8.5333	384	0.6026	0.7470	0.6026	0.7763
No log	8.5778	386	0.6088	0.7470	0.6088	0.7803
No log	8.6222	388	0.6099	0.7470	0.6099	0.7809
No log	8.6667	390	0.6091	0.7470	0.6091	0.7805
No log	8.7111	392	0.6285	0.7660	0.6285	0.7928
No log	8.7556	394	0.6667	0.7603	0.6667	0.8165
No log	8.8	396	0.6736	0.7336	0.6736	0.8208
No log	8.8444	398	0.6629	0.7336	0.6629	0.8142
No log	8.8889	400	0.6538	0.7603	0.6538	0.8086
No log	8.9333	402	0.6436	0.7390	0.6436	0.8022
No log	8.9778	404	0.6508	0.7390	0.6508	0.8067
No log	9.0222	406	0.6510	0.7390	0.6510	0.8068
No log	9.0667	408	0.6596	0.7603	0.6596	0.8122
No log	9.1111	410	0.6640	0.7603	0.6640	0.8149
No log	9.1556	412	0.6660	0.7603	0.6660	0.8161
No log	9.2	414	0.6581	0.7603	0.6581	0.8112
No log	9.2444	416	0.6610	0.7603	0.6610	0.8130
No log	9.2889	418	0.6725	0.7603	0.6725	0.8201
No log	9.3333	420	0.6817	0.7336	0.6817	0.8257
No log	9.3778	422	0.6897	0.7336	0.6897	0.8305
No log	9.4222	424	0.6891	0.7336	0.6891	0.8301
No log	9.4667	426	0.6885	0.7603	0.6885	0.8298
No log	9.5111	428	0.6961	0.7336	0.6961	0.8343
No log	9.5556	430	0.6949	0.7603	0.6949	0.8336
No log	9.6	432	0.6901	0.7603	0.6901	0.8307
No log	9.6444	434	0.6842	0.7603	0.6842	0.8272
No log	9.6889	436	0.6775	0.7603	0.6775	0.8231
No log	9.7333	438	0.6751	0.7603	0.6751	0.8217
No log	9.7778	440	0.6689	0.7603	0.6689	0.8179
No log	9.8222	442	0.6638	0.7603	0.6638	0.8147
No log	9.8667	444	0.6581	0.7390	0.6581	0.8112
No log	9.9111	446	0.6520	0.7390	0.6520	0.8075
No log	9.9556	448	0.6488	0.7390	0.6488	0.8055
No log	10.0	450	0.6479	0.7390	0.6479	0.8049

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu118
• Datasets 2.21.0
• Tokenizers 0.19.1