ArabicNewSplits7_FineTuningAraBERT_run3_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: 0.4011
• Qwk: 0.6979
• Mse: 0.4011
• Rmse: 0.6334

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	0.5465	0.4681	0.5465	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	0.7518
No log	3.6	54	0.5174	0.4966	0.5174	0.7193
No log	3.7333	56	0.6063	0.4982	0.6063	0.7787
No log	3.8667	58	0.4958	0.5288	0.4958	0.7042
No log	4.0	60	0.6391	0.5160	0.6391	0.7994
No log	4.1333	62	0.8175	0.4568	0.8175	0.9042
No log	4.2667	64	0.6750	0.4977	0.6750	0.8216
No log	4.4	66	0.4779	0.6317	0.4779	0.6913
No log	4.5333	68	0.6323	0.5215	0.6323	0.7952
No log	4.6667	70	0.8169	0.4511	0.8169	0.9038
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	0.5690	0.5595	0.5690	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	0.5358	0.6773	0.5358	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	0.7395
No log	6.6667	100	0.6543	0.4805	0.6543	0.8089
No log	6.8	102	0.6473	0.4805	0.6473	0.8045
No log	6.9333	104	0.6289	0.4610	0.6289	0.7931
No log	7.0667	106	0.6202	0.4385	0.6202	0.7875
No log	7.2	108	0.5221	0.5015	0.5221	0.7225
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	0.6692
No log	7.8667	118	0.4549	0.6101	0.4549	0.6744
No log	8.0	120	0.4573	0.6101	0.4573	0.6762
No log	8.1333	122	0.4264	0.6142	0.4264	0.6530
No log	8.2667	124	0.5073	0.5677	0.5073	0.7123
No log	8.4	126	0.5225	0.5497	0.5225	0.7229
No log	8.5333	128	0.4386	0.6004	0.4386	0.6623
No log	8.6667	130	0.4203	0.6655	0.4203	0.6483
No log	8.8	132	0.4230	0.6957	0.4230	0.6504
No log	8.9333	134	0.4250	0.6863	0.4250	0.6519
No log	9.0667	136	0.4173	0.6060	0.4173	0.6460
No log	9.2	138	0.4440	0.6214	0.4440	0.6663
No log	9.3333	140	0.4620	0.6214	0.4620	0.6797
No log	9.4667	142	0.4820	0.5983	0.4820	0.6942
No log	9.6	144	0.5331	0.5418	0.5331	0.7301
No log	9.7333	146	0.6064	0.5614	0.6064	0.7787
No log	9.8667	148	0.6337	0.6	0.6337	0.7961
No log	10.0	150	0.4586	0.5961	0.4586	0.6772
No log	10.1333	152	0.4219	0.6750	0.4219	0.6495
No log	10.2667	154	0.4242	0.6197	0.4242	0.6513
No log	10.4	156	0.4261	0.6197	0.4261	0.6528
No log	10.5333	158	0.4245	0.6007	0.4245	0.6516
No log	10.6667	160	0.4566	0.5682	0.4566	0.6757
No log	10.8	162	0.4796	0.5831	0.4796	0.6925
No log	10.9333	164	0.4655	0.6408	0.4655	0.6823
No log	11.0667	166	0.4804	0.5875	0.4804	0.6931
No log	11.2	168	0.4771	0.5875	0.4771	0.6907
No log	11.3333	170	0.4563	0.6530	0.4563	0.6755
No log	11.4667	172	0.4549	0.6158	0.4549	0.6745
No log	11.6	174	0.5564	0.5763	0.5564	0.7459
No log	11.7333	176	0.5986	0.5813	0.5986	0.7737
No log	11.8667	178	0.5064	0.6110	0.5064	0.7116
No log	12.0	180	0.4445	0.5840	0.4445	0.6667
No log	12.1333	182	0.4560	0.6709	0.4560	0.6753
No log	12.2667	184	0.4519	0.6526	0.4519	0.6722
No log	12.4	186	0.4397	0.6310	0.4397	0.6631
No log	12.5333	188	0.5274	0.5323	0.5274	0.7262
No log	12.6667	190	0.6100	0.5738	0.6100	0.7810
No log	12.8	192	0.5346	0.5170	0.5346	0.7312
No log	12.9333	194	0.4397	0.5988	0.4397	0.6631
No log	13.0667	196	0.4459	0.6282	0.4459	0.6678
No log	13.2	198	0.4369	0.6464	0.4369	0.6610
No log	13.3333	200	0.4576	0.5692	0.4576	0.6765
No log	13.4667	202	0.4852	0.5468	0.4852	0.6966
No log	13.6	204	0.4550	0.5897	0.4550	0.6745
No log	13.7333	206	0.4527	0.6078	0.4527	0.6728
No log	13.8667	208	0.4751	0.6232	0.4751	0.6892
No log	14.0	210	0.4853	0.5989	0.4853	0.6966
No log	14.1333	212	0.4767	0.6235	0.4767	0.6904
No log	14.2667	214	0.4885	0.6419	0.4885	0.6989
No log	14.4	216	0.4609	0.6087	0.4609	0.6789
No log	14.5333	218	0.4658	0.5609	0.4658	0.6825
No log	14.6667	220	0.4691	0.5687	0.4691	0.6849
No log	14.8	222	0.4725	0.5687	0.4725	0.6874
No log	14.9333	224	0.4984	0.5560	0.4984	0.7060
No log	15.0667	226	0.5846	0.4821	0.5846	0.7646
No log	15.2	228	0.6218	0.5351	0.6218	0.7885
No log	15.3333	230	0.5455	0.5625	0.5455	0.7386
No log	15.4667	232	0.4975	0.5184	0.4975	0.7053
No log	15.6	234	0.4956	0.5160	0.4956	0.7040
No log	15.7333	236	0.4843	0.5269	0.4843	0.6959
No log	15.8667	238	0.4912	0.5723	0.4912	0.7008
No log	16.0	240	0.5328	0.4911	0.5328	0.7300
No log	16.1333	242	0.4932	0.5086	0.4932	0.7023
No log	16.2667	244	0.4599	0.6214	0.4599	0.6782
No log	16.4	246	0.4562	0.5373	0.4562	0.6754
No log	16.5333	248	0.4526	0.5373	0.4526	0.6728
No log	16.6667	250	0.4540	0.6032	0.4540	0.6738
No log	16.8	252	0.4827	0.5801	0.4827	0.6948
No log	16.9333	254	0.4973	0.5801	0.4973	0.7052
No log	17.0667	256	0.4659	0.6032	0.4659	0.6826
No log	17.2	258	0.4523	0.6371	0.4523	0.6725
No log	17.3333	260	0.4680	0.6445	0.4680	0.6841
No log	17.4667	262	0.4688	0.6445	0.4688	0.6847
No log	17.6	264	0.4549	0.6267	0.4549	0.6744
No log	17.7333	266	0.5102	0.5511	0.5102	0.7143
No log	17.8667	268	0.6015	0.5750	0.6015	0.7755
No log	18.0	270	0.5854	0.5206	0.5854	0.7651
No log	18.1333	272	0.4987	0.5468	0.4987	0.7062
No log	18.2667	274	0.4452	0.5941	0.4452	0.6672
No log	18.4	276	0.4604	0.5970	0.4604	0.6785
No log	18.5333	278	0.4719	0.5904	0.4719	0.6869
No log	18.6667	280	0.4530	0.5970	0.4530	0.6731
No log	18.8	282	0.4443	0.6455	0.4443	0.6666
No log	18.9333	284	0.4535	0.6371	0.4535	0.6734
No log	19.0667	286	0.4625	0.6747	0.4625	0.6801
No log	19.2	288	0.4730	0.7067	0.4730	0.6878
No log	19.3333	290	0.4657	0.6580	0.4657	0.6824
No log	19.4667	292	0.4513	0.6561	0.4513	0.6718
No log	19.6	294	0.4374	0.6939	0.4374	0.6614
No log	19.7333	296	0.4400	0.6210	0.4400	0.6634
No log	19.8667	298	0.4362	0.6295	0.4362	0.6605
No log	20.0	300	0.4295	0.6854	0.4295	0.6553
No log	20.1333	302	0.4302	0.6542	0.4302	0.6559
No log	20.2667	304	0.4372	0.6816	0.4372	0.6612
No log	20.4	306	0.4453	0.6747	0.4453	0.6673
No log	20.5333	308	0.4767	0.6793	0.4767	0.6904
No log	20.6667	310	0.4810	0.6195	0.4810	0.6936
No log	20.8	312	0.4682	0.6749	0.4682	0.6843
No log	20.9333	314	0.4607	0.6590	0.4607	0.6788
No log	21.0667	316	0.4600	0.6572	0.4600	0.6783
No log	21.2	318	0.4583	0.5796	0.4583	0.6770
No log	21.3333	320	0.4620	0.5867	0.4620	0.6797
No log	21.4667	322	0.4616	0.5812	0.4616	0.6794
No log	21.6	324	0.4677	0.5812	0.4677	0.6839
No log	21.7333	326	0.4820	0.6353	0.4820	0.6943
No log	21.8667	328	0.4965	0.5396	0.4965	0.7046
No log	22.0	330	0.4853	0.6434	0.4853	0.6966
No log	22.1333	332	0.4696	0.5687	0.4696	0.6853
No log	22.2667	334	0.4855	0.5495	0.4855	0.6968
No log	22.4	336	0.4815	0.5266	0.4815	0.6939
No log	22.5333	338	0.4720	0.6010	0.4720	0.6870
No log	22.6667	340	0.4843	0.5980	0.4843	0.6959
No log	22.8	342	0.4683	0.5912	0.4683	0.6843
No log	22.9333	344	0.4646	0.5750	0.4646	0.6816
No log	23.0667	346	0.4661	0.5782	0.4661	0.6827
No log	23.2	348	0.4851	0.5933	0.4851	0.6965
No log	23.3333	350	0.5717	0.5484	0.5717	0.7561
No log	23.4667	352	0.5733	0.5582	0.5733	0.7572
No log	23.6	354	0.4975	0.6010	0.4975	0.7054
No log	23.7333	356	0.4709	0.5413	0.4709	0.6862
No log	23.8667	358	0.4711	0.6084	0.4711	0.6864
No log	24.0	360	0.4543	0.5987	0.4543	0.6740
No log	24.1333	362	0.4495	0.6298	0.4495	0.6705
No log	24.2667	364	0.4502	0.6346	0.4502	0.6710
No log	24.4	366	0.4600	0.5845	0.4600	0.6783
No log	24.5333	368	0.4447	0.6200	0.4447	0.6669
No log	24.6667	370	0.4374	0.5765	0.4374	0.6614
No log	24.8	372	0.4494	0.5495	0.4494	0.6704
No log	24.9333	374	0.4636	0.5779	0.4636	0.6809
No log	25.0667	376	0.4642	0.5779	0.4642	0.6813
No log	25.2	378	0.4371	0.6156	0.4371	0.6612
No log	25.3333	380	0.4379	0.5853	0.4379	0.6617
No log	25.4667	382	0.4705	0.5877	0.4705	0.6859
No log	25.6	384	0.4868	0.6282	0.4868	0.6977
No log	25.7333	386	0.4605	0.6210	0.4605	0.6786
No log	25.8667	388	0.4374	0.6014	0.4374	0.6613
No log	26.0	390	0.4351	0.5634	0.4351	0.6596
No log	26.1333	392	0.4430	0.5457	0.4430	0.6656
No log	26.2667	394	0.4622	0.5367	0.4622	0.6799
No log	26.4	396	0.4746	0.5693	0.4746	0.6889
No log	26.5333	398	0.4939	0.5528	0.4939	0.7028
No log	26.6667	400	0.5018	0.5758	0.5018	0.7083
No log	26.8	402	0.4799	0.5897	0.4799	0.6928
No log	26.9333	404	0.4537	0.6552	0.4537	0.6736
No log	27.0667	406	0.4472	0.6750	0.4472	0.6687
No log	27.2	408	0.4456	0.6661	0.4456	0.6675
No log	27.3333	410	0.4452	0.6667	0.4452	0.6672
No log	27.4667	412	0.4444	0.6667	0.4444	0.6666
No log	27.6	414	0.4482	0.6555	0.4482	0.6694
No log	27.7333	416	0.4491	0.6555	0.4491	0.6701
No log	27.8667	418	0.4499	0.6555	0.4499	0.6707
No log	28.0	420	0.4503	0.6555	0.4503	0.6711
No log	28.1333	422	0.4541	0.6555	0.4541	0.6739
No log	28.2667	424	0.4591	0.6344	0.4591	0.6776
No log	28.4	426	0.4764	0.5897	0.4764	0.6902
No log	28.5333	428	0.5039	0.5673	0.5039	0.7098
No log	28.6667	430	0.4979	0.5601	0.4979	0.7056
No log	28.8	432	0.4648	0.5995	0.4648	0.6817
No log	28.9333	434	0.4480	0.6091	0.4480	0.6693
No log	29.0667	436	0.4539	0.5571	0.4539	0.6737
No log	29.2	438	0.4574	0.5702	0.4574	0.6763
No log	29.3333	440	0.4584	0.6170	0.4584	0.6771
No log	29.4667	442	0.4460	0.5781	0.4460	0.6679
No log	29.6	444	0.4351	0.6197	0.4351	0.6596
No log	29.7333	446	0.4321	0.6185	0.4321	0.6573
No log	29.8667	448	0.4263	0.6171	0.4263	0.6529
No log	30.0	450	0.4333	0.6517	0.4333	0.6583
No log	30.1333	452	0.4367	0.6517	0.4367	0.6608
No log	30.2667	454	0.4330	0.6628	0.4330	0.6580
No log	30.4	456	0.4300	0.6435	0.4300	0.6558
No log	30.5333	458	0.4254	0.6435	0.4254	0.6522
No log	30.6667	460	0.4265	0.6648	0.4265	0.6531
No log	30.8	462	0.4296	0.6269	0.4296	0.6554
No log	30.9333	464	0.4245	0.6183	0.4245	0.6515
No log	31.0667	466	0.4234	0.6101	0.4234	0.6507
No log	31.2	468	0.4199	0.6183	0.4199	0.6480
No log	31.3333	470	0.4124	0.6464	0.4124	0.6422
No log	31.4667	472	0.4096	0.6464	0.4096	0.6400
No log	31.6	474	0.4202	0.6639	0.4202	0.6482
No log	31.7333	476	0.4247	0.6634	0.4247	0.6517
No log	31.8667	478	0.4188	0.6467	0.4188	0.6471
No log	32.0	480	0.4298	0.6020	0.4298	0.6556
No log	32.1333	482	0.4597	0.5642	0.4597	0.6780
No log	32.2667	484	0.4680	0.5438	0.4680	0.6841
No log	32.4	486	0.4420	0.5406	0.4420	0.6648
No log	32.5333	488	0.4228	0.5831	0.4228	0.6502
No log	32.6667	490	0.4439	0.6716	0.4439	0.6663
No log	32.8	492	0.4714	0.6767	0.4714	0.6866
No log	32.9333	494	0.5053	0.6110	0.5053	0.7109
No log	33.0667	496	0.5126	0.6060	0.5126	0.7160
No log	33.2	498	0.4702	0.5929	0.4702	0.6857
0.271	33.3333	500	0.4259	0.7198	0.4259	0.6526
0.271	33.4667	502	0.4398	0.7284	0.4398	0.6632
0.271	33.6	504	0.4743	0.6729	0.4743	0.6887
0.271	33.7333	506	0.4730	0.6729	0.4730	0.6878
0.271	33.8667	508	0.4430	0.6361	0.4430	0.6655
0.271	34.0	510	0.4130	0.6932	0.4130	0.6426
0.271	34.1333	512	0.4011	0.6979	0.4011	0.6334

Framework versions

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