ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k5_task7_organization

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: 0.4201
• Qwk: 0.6890
• Mse: 0.4201
• Rmse: 0.6482

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: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.1333	2	2.5900	-0.0593	2.5900	1.6094
No log	0.2667	4	1.1749	0.0993	1.1749	1.0839
No log	0.4	6	0.7766	0.0937	0.7766	0.8812
No log	0.5333	8	0.7910	0.0608	0.7910	0.8894
No log	0.6667	10	0.9163	0.2939	0.9163	0.9572
No log	0.8	12	0.7580	0.2467	0.7580	0.8706
No log	0.9333	14	0.7363	0.2063	0.7363	0.8581
No log	1.0667	16	0.9297	0.1288	0.9297	0.9642
No log	1.2	18	0.7754	0.2103	0.7754	0.8806
No log	1.3333	20	0.6582	0.1903	0.6582	0.8113
No log	1.4667	22	0.6466	0.3123	0.6466	0.8041
No log	1.6	24	0.6362	0.3494	0.6362	0.7976
No log	1.7333	26	0.6149	0.3274	0.6149	0.7841
No log	1.8667	28	0.6052	0.3354	0.6052	0.7780
No log	2.0	30	0.5955	0.2412	0.5955	0.7717
No log	2.1333	32	0.5959	0.2345	0.5959	0.7719
No log	2.2667	34	0.5791	0.2851	0.5791	0.7610
No log	2.4	36	0.5829	0.3640	0.5829	0.7635
No log	2.5333	38	0.5087	0.4561	0.5087	0.7132
No log	2.6667	40	0.4745	0.5227	0.4745	0.6888
No log	2.8	42	0.6166	0.4315	0.6166	0.7852
No log	2.9333	44	0.7377	0.4667	0.7377	0.8589
No log	3.0667	46	0.5466	0.4681	0.5466	0.7393
No log	3.2	48	0.5284	0.6206	0.5284	0.7269
No log	3.3333	50	0.7271	0.4667	0.7271	0.8527
No log	3.4667	52	0.5653	0.5664	0.5653	0.7519
No log	3.6	54	0.5173	0.4966	0.5173	0.7193
No log	3.7333	56	0.6063	0.4982	0.6063	0.7787
No log	3.8667	58	0.4959	0.5288	0.4959	0.7042
No log	4.0	60	0.6390	0.5160	0.6390	0.7994
No log	4.1333	62	0.8174	0.4568	0.8174	0.9041
No log	4.2667	64	0.6749	0.4977	0.6749	0.8215
No log	4.4	66	0.4779	0.6317	0.4779	0.6913
No log	4.5333	68	0.6324	0.5215	0.6324	0.7952
No log	4.6667	70	0.8170	0.4511	0.8170	0.9039
No log	4.8	72	0.6603	0.4648	0.6603	0.8126
No log	4.9333	74	0.4626	0.6032	0.4626	0.6802
No log	5.0667	76	0.6003	0.5489	0.6003	0.7748
No log	5.2	78	0.6730	0.5093	0.6730	0.8204
No log	5.3333	80	0.5691	0.5595	0.5691	0.7544
No log	5.4667	82	0.4984	0.5559	0.4984	0.7060
No log	5.6	84	0.8386	0.4953	0.8386	0.9158
No log	5.7333	86	0.9554	0.4670	0.9554	0.9775
No log	5.8667	88	0.7667	0.4844	0.7667	0.8756
No log	6.0	90	0.5351	0.5770	0.5351	0.7315
No log	6.1333	92	0.5217	0.6677	0.5217	0.7223
No log	6.2667	94	0.5359	0.6773	0.5359	0.7320
No log	6.4	96	0.5136	0.5874	0.5136	0.7167
No log	6.5333	98	0.5468	0.5341	0.5468	0.7394
No log	6.6667	100	0.6543	0.4805	0.6543	0.8089
No log	6.8	102	0.6474	0.4805	0.6474	0.8046
No log	6.9333	104	0.6291	0.4610	0.6291	0.7932
No log	7.0667	106	0.6204	0.4385	0.6204	0.7877
No log	7.2	108	0.5221	0.5015	0.5221	0.7226
No log	7.3333	110	0.5037	0.5324	0.5037	0.7097
No log	7.4667	112	0.4985	0.5324	0.4985	0.7060
No log	7.6	114	0.4617	0.5988	0.4617	0.6795
No log	7.7333	116	0.4479	0.6254	0.4479	0.6693
No log	7.8667	118	0.4548	0.6101	0.4548	0.6744
No log	8.0	120	0.4574	0.6101	0.4574	0.6763
No log	8.1333	122	0.4264	0.6142	0.4264	0.6530
No log	8.2667	124	0.5067	0.5677	0.5067	0.7118
No log	8.4	126	0.5218	0.5497	0.5218	0.7224
No log	8.5333	128	0.4384	0.6004	0.4384	0.6621
No log	8.6667	130	0.4204	0.6655	0.4204	0.6484
No log	8.8	132	0.4230	0.6957	0.4230	0.6504
No log	8.9333	134	0.4248	0.6863	0.4248	0.6518
No log	9.0667	136	0.4173	0.6060	0.4173	0.6460
No log	9.2	138	0.4438	0.6214	0.4438	0.6662
No log	9.3333	140	0.4618	0.6214	0.4618	0.6796
No log	9.4667	142	0.4815	0.5983	0.4815	0.6939
No log	9.6	144	0.5320	0.5418	0.5320	0.7294
No log	9.7333	146	0.6049	0.5614	0.6049	0.7778
No log	9.8667	148	0.6328	0.6	0.6328	0.7955
No log	10.0	150	0.4585	0.5961	0.4585	0.6771
No log	10.1333	152	0.4219	0.6750	0.4219	0.6495
No log	10.2667	154	0.4240	0.6197	0.4240	0.6511
No log	10.4	156	0.4258	0.6197	0.4258	0.6525
No log	10.5333	158	0.4244	0.6007	0.4244	0.6515
No log	10.6667	160	0.4553	0.5886	0.4553	0.6747
No log	10.8	162	0.4772	0.5831	0.4772	0.6908
No log	10.9333	164	0.4641	0.6624	0.4641	0.6812
No log	11.0667	166	0.4812	0.5970	0.4812	0.6936
No log	11.2	168	0.4772	0.5875	0.4772	0.6908
No log	11.3333	170	0.4561	0.6530	0.4561	0.6754
No log	11.4667	172	0.4548	0.6158	0.4548	0.6744
No log	11.6	174	0.5568	0.5763	0.5568	0.7462
No log	11.7333	176	0.5986	0.5813	0.5986	0.7737
No log	11.8667	178	0.5060	0.6096	0.5060	0.7113
No log	12.0	180	0.4443	0.5840	0.4443	0.6666
No log	12.1333	182	0.4557	0.6709	0.4557	0.6750
No log	12.2667	184	0.4515	0.6526	0.4515	0.6719
No log	12.4	186	0.4393	0.6310	0.4393	0.6628
No log	12.5333	188	0.5267	0.5323	0.5267	0.7258
No log	12.6667	190	0.6093	0.5738	0.6093	0.7806
No log	12.8	192	0.5337	0.5170	0.5337	0.7306
No log	12.9333	194	0.4392	0.6359	0.4392	0.6628
No log	13.0667	196	0.4459	0.6282	0.4459	0.6678
No log	13.2	198	0.4367	0.6464	0.4367	0.6608
No log	13.3333	200	0.4581	0.5692	0.4581	0.6768
No log	13.4667	202	0.4869	0.5468	0.4869	0.6978
No log	13.6	204	0.4553	0.5897	0.4553	0.6747
No log	13.7333	206	0.4517	0.6277	0.4517	0.6721
No log	13.8667	208	0.4740	0.6222	0.4740	0.6885
No log	14.0	210	0.4843	0.5989	0.4843	0.6959
No log	14.1333	212	0.4774	0.6235	0.4774	0.6909
No log	14.2667	214	0.4884	0.6419	0.4884	0.6989
No log	14.4	216	0.4608	0.5492	0.4608	0.6788
No log	14.5333	218	0.4661	0.5609	0.4661	0.6827
No log	14.6667	220	0.4691	0.5609	0.4691	0.6849
No log	14.8	222	0.4726	0.5687	0.4726	0.6874
No log	14.9333	224	0.4985	0.5560	0.4985	0.7060
No log	15.0667	226	0.5897	0.5008	0.5897	0.7679
No log	15.2	228	0.6297	0.5351	0.6297	0.7935
No log	15.3333	230	0.5511	0.5431	0.5511	0.7424
No log	15.4667	232	0.4983	0.5184	0.4983	0.7059
No log	15.6	234	0.4968	0.5160	0.4968	0.7048
No log	15.7333	236	0.4864	0.5057	0.4864	0.6974
No log	15.8667	238	0.4910	0.5206	0.4910	0.7007
No log	16.0	240	0.5292	0.4911	0.5292	0.7275
No log	16.1333	242	0.4924	0.5177	0.4924	0.7017
No log	16.2667	244	0.4603	0.6214	0.4603	0.6784
No log	16.4	246	0.4561	0.5373	0.4561	0.6753
No log	16.5333	248	0.4530	0.5373	0.4530	0.6731
No log	16.6667	250	0.4515	0.6032	0.4515	0.6720
No log	16.8	252	0.4800	0.5897	0.4800	0.6928
No log	16.9333	254	0.5011	0.5708	0.5011	0.7079
No log	17.0667	256	0.4696	0.5816	0.4696	0.6853
No log	17.2	258	0.4509	0.6371	0.4509	0.6715
No log	17.3333	260	0.4754	0.6445	0.4754	0.6895
No log	17.4667	262	0.4751	0.6445	0.4751	0.6893
No log	17.6	264	0.4552	0.6184	0.4552	0.6747
No log	17.7333	266	0.5146	0.5511	0.5146	0.7174
No log	17.8667	268	0.6125	0.5364	0.6125	0.7826
No log	18.0	270	0.6019	0.5410	0.6019	0.7758
No log	18.1333	272	0.5143	0.5379	0.5143	0.7172
No log	18.2667	274	0.4460	0.5941	0.4460	0.6678
No log	18.4	276	0.4519	0.6170	0.4519	0.6722
No log	18.5333	278	0.4628	0.5985	0.4628	0.6803
No log	18.6667	280	0.4507	0.5890	0.4507	0.6713
No log	18.8	282	0.4443	0.6455	0.4443	0.6665
No log	18.9333	284	0.4576	0.6460	0.4576	0.6765
No log	19.0667	286	0.4649	0.6747	0.4649	0.6819
No log	19.2	288	0.4747	0.7067	0.4747	0.6890
No log	19.3333	290	0.4637	0.7067	0.4637	0.6810
No log	19.4667	292	0.4453	0.6662	0.4453	0.6673
No log	19.6	294	0.4349	0.6395	0.4349	0.6595
No log	19.7333	296	0.4482	0.6127	0.4482	0.6695
No log	19.8667	298	0.4480	0.5642	0.4480	0.6693
No log	20.0	300	0.4335	0.6357	0.4335	0.6584
No log	20.1333	302	0.4318	0.6542	0.4318	0.6571
No log	20.2667	304	0.4381	0.6542	0.4381	0.6619
No log	20.4	306	0.4412	0.6564	0.4412	0.6642
No log	20.5333	308	0.4584	0.6427	0.4584	0.6770
No log	20.6667	310	0.4615	0.6958	0.4615	0.6793
No log	20.8	312	0.4734	0.6387	0.4734	0.6880
No log	20.9333	314	0.4652	0.6382	0.4652	0.6821
No log	21.0667	316	0.4572	0.6027	0.4572	0.6762
No log	21.2	318	0.4675	0.5554	0.4675	0.6838
No log	21.3333	320	0.4589	0.5627	0.4589	0.6774
No log	21.4667	322	0.4520	0.5446	0.4520	0.6723
No log	21.6	324	0.4747	0.5845	0.4747	0.6890
No log	21.7333	326	0.4926	0.5708	0.4926	0.7019
No log	21.8667	328	0.4696	0.5897	0.4696	0.6853
No log	22.0	330	0.4490	0.6455	0.4490	0.6701
No log	22.1333	332	0.4873	0.5422	0.4873	0.6981
No log	22.2667	334	0.5000	0.5422	0.5000	0.7071
No log	22.4	336	0.4721	0.5373	0.4721	0.6871
No log	22.5333	338	0.4729	0.6517	0.4729	0.6877
No log	22.6667	340	0.4875	0.6303	0.4875	0.6982
No log	22.8	342	0.4743	0.5476	0.4743	0.6887
No log	22.9333	344	0.4750	0.5336	0.4750	0.6892
No log	23.0667	346	0.4921	0.5491	0.4921	0.7015
No log	23.2	348	0.5283	0.6761	0.5283	0.7268
No log	23.3333	350	0.5400	0.6761	0.5400	0.7349
No log	23.4667	352	0.4994	0.6009	0.4994	0.7067
No log	23.6	354	0.4891	0.5286	0.4891	0.6994
No log	23.7333	356	0.5107	0.5848	0.5107	0.7146
No log	23.8667	358	0.4914	0.5378	0.4914	0.7010
No log	24.0	360	0.4750	0.5886	0.4750	0.6892
No log	24.1333	362	0.5124	0.6137	0.5124	0.7158
No log	24.2667	364	0.5257	0.5831	0.5257	0.7250
No log	24.4	366	0.4925	0.5965	0.4925	0.7018
No log	24.5333	368	0.4639	0.5631	0.4639	0.6811
No log	24.6667	370	0.4546	0.6010	0.4546	0.6742
No log	24.8	372	0.4459	0.6060	0.4459	0.6678
No log	24.9333	374	0.4546	0.5956	0.4546	0.6742
No log	25.0667	376	0.4859	0.6181	0.4859	0.6971
No log	25.2	378	0.4679	0.6361	0.4679	0.6841
No log	25.3333	380	0.4402	0.7137	0.4402	0.6635
No log	25.4667	382	0.4223	0.7097	0.4223	0.6498
No log	25.6	384	0.4157	0.7373	0.4157	0.6448
No log	25.7333	386	0.4156	0.6960	0.4156	0.6446
No log	25.8667	388	0.4333	0.6248	0.4333	0.6583
No log	26.0	390	0.4322	0.5855	0.4322	0.6574
No log	26.1333	392	0.4157	0.5985	0.4157	0.6447
No log	26.2667	394	0.4216	0.6833	0.4216	0.6493
No log	26.4	396	0.4420	0.6278	0.4420	0.6648
No log	26.5333	398	0.4386	0.6278	0.4386	0.6623
No log	26.6667	400	0.4254	0.6733	0.4254	0.6522
No log	26.8	402	0.4221	0.5904	0.4221	0.6497
No log	26.9333	404	0.4254	0.6040	0.4254	0.6522
No log	27.0667	406	0.4341	0.6474	0.4341	0.6588
No log	27.2	408	0.4626	0.6003	0.4626	0.6801
No log	27.3333	410	0.4779	0.5364	0.4779	0.6913
No log	27.4667	412	0.4461	0.5845	0.4461	0.6679
No log	27.6	414	0.4321	0.6032	0.4321	0.6573
No log	27.7333	416	0.4291	0.6129	0.4291	0.6551
No log	27.8667	418	0.4323	0.5195	0.4323	0.6575
No log	28.0	420	0.4347	0.5195	0.4347	0.6593
No log	28.1333	422	0.4417	0.5703	0.4417	0.6646
No log	28.2667	424	0.4674	0.6289	0.4674	0.6837
No log	28.4	426	0.4730	0.6289	0.4730	0.6877
No log	28.5333	428	0.4684	0.6395	0.4684	0.6844
No log	28.6667	430	0.4566	0.5422	0.4566	0.6757
No log	28.8	432	0.4568	0.5853	0.4568	0.6759
No log	28.9333	434	0.4536	0.5422	0.4536	0.6735
No log	29.0667	436	0.4439	0.5765	0.4439	0.6663
No log	29.2	438	0.4377	0.5750	0.4377	0.6616
No log	29.3333	440	0.4371	0.5580	0.4371	0.6611
No log	29.4667	442	0.4334	0.5979	0.4334	0.6584
No log	29.6	444	0.4259	0.6364	0.4259	0.6526
No log	29.7333	446	0.4182	0.6841	0.4182	0.6467
No log	29.8667	448	0.4186	0.6269	0.4186	0.6470
No log	30.0	450	0.4188	0.6745	0.4188	0.6471
No log	30.1333	452	0.4204	0.6953	0.4204	0.6484
No log	30.2667	454	0.4154	0.6953	0.4154	0.6445
No log	30.4	456	0.4069	0.6953	0.4069	0.6379
No log	30.5333	458	0.4070	0.6759	0.4070	0.6379
No log	30.6667	460	0.4244	0.6389	0.4244	0.6515
No log	30.8	462	0.4374	0.5918	0.4374	0.6613
No log	30.9333	464	0.4254	0.6589	0.4254	0.6522
No log	31.0667	466	0.4168	0.6841	0.4168	0.6456
No log	31.2	468	0.4186	0.6832	0.4186	0.6470
No log	31.3333	470	0.4320	0.6604	0.4320	0.6573
No log	31.4667	472	0.4269	0.6611	0.4269	0.6533
No log	31.6	474	0.4226	0.6931	0.4226	0.6501
No log	31.7333	476	0.4209	0.6643	0.4209	0.6488
No log	31.8667	478	0.4193	0.6170	0.4193	0.6475
No log	32.0	480	0.4165	0.6292	0.4165	0.6454
No log	32.1333	482	0.4175	0.6491	0.4175	0.6462
No log	32.2667	484	0.4332	0.5841	0.4332	0.6582
No log	32.4	486	0.4581	0.5869	0.4581	0.6768
No log	32.5333	488	0.4654	0.5794	0.4654	0.6822
No log	32.6667	490	0.4388	0.6061	0.4388	0.6625
No log	32.8	492	0.4072	0.7123	0.4072	0.6381
No log	32.9333	494	0.4056	0.6841	0.4056	0.6369
No log	33.0667	496	0.4110	0.6739	0.4110	0.6411
No log	33.2	498	0.4060	0.6739	0.4060	0.6372
0.2691	33.3333	500	0.4018	0.7218	0.4018	0.6339
0.2691	33.4667	502	0.4015	0.6587	0.4015	0.6337
0.2691	33.6	504	0.4012	0.6672	0.4012	0.6334
0.2691	33.7333	506	0.4014	0.6364	0.4014	0.6335
0.2691	33.8667	508	0.4050	0.6452	0.4050	0.6364
0.2691	34.0	510	0.4201	0.6890	0.4201	0.6482

Framework versions

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