ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run2_AugV5_k8_task2_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: 0.9868
• Qwk: 0.4234
• Mse: 0.9868
• Rmse: 0.9934

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	0.0465	2	3.9811	0.0288	3.9811	1.9953
No log	0.0930	4	2.1979	0.0193	2.1979	1.4825
No log	0.1395	6	1.3523	0.0528	1.3523	1.1629
No log	0.1860	8	0.8366	-0.0270	0.8366	0.9147
No log	0.2326	10	0.7129	0.1667	0.7129	0.8443
No log	0.2791	12	0.7662	0.1819	0.7662	0.8753
No log	0.3256	14	0.8084	0.1442	0.8084	0.8991
No log	0.3721	16	0.7843	0.1208	0.7843	0.8856
No log	0.4186	18	0.7537	0.1314	0.7537	0.8682
No log	0.4651	20	0.7773	0.0111	0.7773	0.8816
No log	0.5116	22	0.7650	0.0634	0.7650	0.8747
No log	0.5581	24	0.7312	0.1202	0.7312	0.8551
No log	0.6047	26	0.6664	0.2080	0.6664	0.8164
No log	0.6512	28	0.6485	0.2291	0.6485	0.8053
No log	0.6977	30	0.6460	0.1732	0.6460	0.8037
No log	0.7442	32	0.6357	0.2247	0.6357	0.7973
No log	0.7907	34	0.6073	0.3120	0.6073	0.7793
No log	0.8372	36	0.5950	0.2634	0.5950	0.7713
No log	0.8837	38	0.6065	0.2888	0.6065	0.7788
No log	0.9302	40	0.6436	0.3131	0.6436	0.8022
No log	0.9767	42	0.6547	0.2406	0.6547	0.8092
No log	1.0233	44	0.6434	0.2370	0.6434	0.8021
No log	1.0698	46	0.6045	0.2981	0.6045	0.7775
No log	1.1163	48	0.5631	0.2903	0.5631	0.7504
No log	1.1628	50	0.5709	0.2819	0.5709	0.7555
No log	1.2093	52	0.6039	0.3376	0.6039	0.7771
No log	1.2558	54	0.6362	0.3762	0.6362	0.7976
No log	1.3023	56	0.6957	0.4046	0.6957	0.8341
No log	1.3488	58	0.9013	0.3999	0.9013	0.9494
No log	1.3953	60	1.0357	0.3931	1.0357	1.0177
No log	1.4419	62	1.1420	0.3591	1.1420	1.0686
No log	1.4884	64	1.0695	0.3131	1.0695	1.0342
No log	1.5349	66	0.8573	0.3831	0.8573	0.9259
No log	1.5814	68	0.8595	0.3806	0.8595	0.9271
No log	1.6279	70	0.9107	0.3786	0.9107	0.9543
No log	1.6744	72	0.8618	0.4284	0.8618	0.9283
No log	1.7209	74	0.8193	0.4108	0.8193	0.9052
No log	1.7674	76	0.8655	0.4207	0.8655	0.9303
No log	1.8140	78	0.9057	0.4111	0.9057	0.9517
No log	1.8605	80	1.0868	0.3785	1.0868	1.0425
No log	1.9070	82	1.0739	0.3986	1.0739	1.0363
No log	1.9535	84	0.9139	0.4085	0.9139	0.9560
No log	2.0	86	0.7451	0.5070	0.7451	0.8632
No log	2.0465	88	0.7118	0.5040	0.7118	0.8437
No log	2.0930	90	0.7895	0.4208	0.7895	0.8885
No log	2.1395	92	0.7440	0.4725	0.7440	0.8626
No log	2.1860	94	0.7192	0.5112	0.7192	0.8480
No log	2.2326	96	0.6548	0.5374	0.6548	0.8092
No log	2.2791	98	0.6723	0.4981	0.6723	0.8199
No log	2.3256	100	0.7205	0.5157	0.7205	0.8488
No log	2.3721	102	0.9068	0.4658	0.9068	0.9523
No log	2.4186	104	1.0966	0.4053	1.0966	1.0472
No log	2.4651	106	1.0330	0.4298	1.0330	1.0164
No log	2.5116	108	0.8722	0.4761	0.8722	0.9339
No log	2.5581	110	0.7961	0.5080	0.7961	0.8922
No log	2.6047	112	0.8177	0.4287	0.8177	0.9043
No log	2.6512	114	0.8636	0.3838	0.8636	0.9293
No log	2.6977	116	0.8150	0.4591	0.8150	0.9028
No log	2.7442	118	0.8005	0.5137	0.8005	0.8947
No log	2.7907	120	0.9516	0.4250	0.9516	0.9755
No log	2.8372	122	1.0746	0.3741	1.0746	1.0366
No log	2.8837	124	1.2824	0.3965	1.2824	1.1324
No log	2.9302	126	1.3421	0.3955	1.3421	1.1585
No log	2.9767	128	1.4520	0.3926	1.4520	1.2050
No log	3.0233	130	1.4706	0.3959	1.4706	1.2127
No log	3.0698	132	1.2599	0.3864	1.2599	1.1224
No log	3.1163	134	1.0355	0.4658	1.0355	1.0176
No log	3.1628	136	0.9773	0.4780	0.9773	0.9886
No log	3.2093	138	0.9722	0.4437	0.9722	0.9860
No log	3.2558	140	0.9067	0.4462	0.9067	0.9522
No log	3.3023	142	0.8223	0.4627	0.8223	0.9068
No log	3.3488	144	0.8174	0.4677	0.8174	0.9041
No log	3.3953	146	0.9457	0.4160	0.9457	0.9725
No log	3.4419	148	1.0508	0.3980	1.0508	1.0251
No log	3.4884	150	0.9773	0.4041	0.9773	0.9886
No log	3.5349	152	0.9548	0.4073	0.9548	0.9772
No log	3.5814	154	1.0482	0.4013	1.0482	1.0238
No log	3.6279	156	1.0522	0.4150	1.0522	1.0257
No log	3.6744	158	0.9575	0.4330	0.9575	0.9785
No log	3.7209	160	0.9220	0.4034	0.9220	0.9602
No log	3.7674	162	0.9323	0.3902	0.9323	0.9656
No log	3.8140	164	0.9499	0.3923	0.9499	0.9746
No log	3.8605	166	1.0659	0.4379	1.0659	1.0324
No log	3.9070	168	1.0720	0.4054	1.0720	1.0354
No log	3.9535	170	0.9394	0.4007	0.9394	0.9693
No log	4.0	172	0.7980	0.4604	0.7980	0.8933
No log	4.0465	174	0.7521	0.5312	0.7521	0.8672
No log	4.0930	176	0.7238	0.4753	0.7238	0.8508
No log	4.1395	178	0.6995	0.5214	0.6995	0.8364
No log	4.1860	180	0.8270	0.4865	0.8270	0.9094
No log	4.2326	182	1.0829	0.4291	1.0829	1.0406
No log	4.2791	184	1.2059	0.4196	1.2059	1.0982
No log	4.3256	186	1.1456	0.4290	1.1456	1.0703
No log	4.3721	188	1.0212	0.4263	1.0212	1.0106
No log	4.4186	190	0.8589	0.4579	0.8589	0.9268
No log	4.4651	192	0.7794	0.4979	0.7794	0.8828
No log	4.5116	194	0.7145	0.5	0.7145	0.8453
No log	4.5581	196	0.7131	0.5223	0.7131	0.8445
No log	4.6047	198	0.7446	0.5036	0.7446	0.8629
No log	4.6512	200	0.8901	0.4678	0.8901	0.9435
No log	4.6977	202	1.2374	0.3714	1.2374	1.1124
No log	4.7442	204	1.5555	0.3385	1.5555	1.2472
No log	4.7907	206	1.5883	0.3267	1.5883	1.2603
No log	4.8372	208	1.4176	0.3667	1.4176	1.1906
No log	4.8837	210	1.2295	0.3994	1.2295	1.1088
No log	4.9302	212	0.9242	0.4559	0.9242	0.9614
No log	4.9767	214	0.7721	0.4568	0.7721	0.8787
No log	5.0233	216	0.7142	0.5225	0.7142	0.8451
No log	5.0698	218	0.6502	0.5464	0.6502	0.8063
No log	5.1163	220	0.6382	0.5496	0.6382	0.7988
No log	5.1628	222	0.6971	0.5169	0.6971	0.8349
No log	5.2093	224	0.8882	0.4501	0.8882	0.9425
No log	5.2558	226	1.1295	0.4304	1.1295	1.0628
No log	5.3023	228	1.2236	0.4316	1.2236	1.1062
No log	5.3488	230	1.1642	0.4526	1.1642	1.0790
No log	5.3953	232	1.0202	0.4644	1.0202	1.0101
No log	5.4419	234	0.8999	0.4832	0.8999	0.9487
No log	5.4884	236	0.8892	0.4618	0.8892	0.9430
No log	5.5349	238	0.9302	0.4264	0.9302	0.9645
No log	5.5814	240	0.9855	0.4500	0.9855	0.9927
No log	5.6279	242	0.9961	0.4498	0.9961	0.9981
No log	5.6744	244	1.0513	0.4457	1.0513	1.0253
No log	5.7209	246	1.0669	0.4619	1.0669	1.0329
No log	5.7674	248	1.1087	0.4250	1.1087	1.0530
No log	5.8140	250	1.1949	0.4154	1.1949	1.0931
No log	5.8605	252	1.2557	0.4154	1.2557	1.1206
No log	5.9070	254	1.2619	0.3965	1.2619	1.1233
No log	5.9535	256	1.1558	0.4250	1.1558	1.0751
No log	6.0	258	1.0170	0.4483	1.0170	1.0085
No log	6.0465	260	0.9039	0.4578	0.9039	0.9507
No log	6.0930	262	0.8528	0.4713	0.8528	0.9235
No log	6.1395	264	0.8705	0.4341	0.8705	0.9330
No log	6.1860	266	0.9149	0.4456	0.9149	0.9565
No log	6.2326	268	0.9394	0.4145	0.9394	0.9692
No log	6.2791	270	0.9551	0.4435	0.9551	0.9773
No log	6.3256	272	0.9415	0.4505	0.9415	0.9703
No log	6.3721	274	0.8793	0.4555	0.8793	0.9377
No log	6.4186	276	0.8619	0.4538	0.8619	0.9284
No log	6.4651	278	0.9044	0.4215	0.9044	0.9510
No log	6.5116	280	1.0289	0.3999	1.0289	1.0144
No log	6.5581	282	1.1286	0.4265	1.1286	1.0623
No log	6.6047	284	1.1232	0.4094	1.1232	1.0598
No log	6.6512	286	1.0655	0.4193	1.0655	1.0323
No log	6.6977	288	0.9901	0.4098	0.9901	0.9951
No log	6.7442	290	0.9666	0.4295	0.9666	0.9832
No log	6.7907	292	0.9821	0.4480	0.9821	0.9910
No log	6.8372	294	1.0422	0.4187	1.0422	1.0209
No log	6.8837	296	1.1367	0.4063	1.1367	1.0662
No log	6.9302	298	1.3000	0.4034	1.3000	1.1402
No log	6.9767	300	1.3671	0.3940	1.3671	1.1692
No log	7.0233	302	1.3880	0.3807	1.3880	1.1781
No log	7.0698	304	1.3160	0.3913	1.3160	1.1472
No log	7.1163	306	1.2022	0.3976	1.2022	1.0964
No log	7.1628	308	1.0726	0.4339	1.0726	1.0356
No log	7.2093	310	0.9709	0.4392	0.9709	0.9853
No log	7.2558	312	0.9224	0.4232	0.9224	0.9604
No log	7.3023	314	0.9418	0.4300	0.9418	0.9705
No log	7.3488	316	0.9944	0.4333	0.9944	0.9972
No log	7.3953	318	1.0204	0.4284	1.0204	1.0101
No log	7.4419	320	1.0094	0.4162	1.0094	1.0047
No log	7.4884	322	0.9885	0.4250	0.9885	0.9942
No log	7.5349	324	0.9852	0.4281	0.9852	0.9926
No log	7.5814	326	0.9988	0.4234	0.9988	0.9994
No log	7.6279	328	1.0493	0.4366	1.0493	1.0244
No log	7.6744	330	1.0901	0.4042	1.0901	1.0441
No log	7.7209	332	1.1185	0.4162	1.1185	1.0576
No log	7.7674	334	1.1117	0.4146	1.1117	1.0544
No log	7.8140	336	1.1227	0.4087	1.1227	1.0596
No log	7.8605	338	1.1114	0.4087	1.1114	1.0542
No log	7.9070	340	1.0498	0.4082	1.0498	1.0246
No log	7.9535	342	0.9602	0.4679	0.9602	0.9799
No log	8.0	344	0.9233	0.4624	0.9233	0.9609
No log	8.0465	346	0.9260	0.4624	0.9260	0.9623
No log	8.0930	348	0.9786	0.4340	0.9786	0.9892
No log	8.1395	350	1.0108	0.4292	1.0108	1.0054
No log	8.1860	352	1.0079	0.4307	1.0079	1.0039
No log	8.2326	354	0.9887	0.4263	0.9887	0.9944
No log	8.2791	356	0.9966	0.4263	0.9966	0.9983
No log	8.3256	358	1.0243	0.4263	1.0243	1.0121
No log	8.3721	360	1.0267	0.4307	1.0267	1.0133
No log	8.4186	362	1.0413	0.4145	1.0413	1.0204
No log	8.4651	364	1.0561	0.4145	1.0561	1.0277
No log	8.5116	366	1.1066	0.4146	1.1066	1.0519
No log	8.5581	368	1.1602	0.4104	1.1602	1.0771
No log	8.6047	370	1.1870	0.4005	1.1870	1.0895
No log	8.6512	372	1.1816	0.4162	1.1816	1.0870
No log	8.6977	374	1.1418	0.4146	1.1418	1.0686
No log	8.7442	376	1.1056	0.4146	1.1056	1.0515
No log	8.7907	378	1.0837	0.4145	1.0837	1.0410
No log	8.8372	380	1.0731	0.4145	1.0731	1.0359
No log	8.8837	382	1.0494	0.4145	1.0494	1.0244
No log	8.9302	384	1.0172	0.4401	1.0172	1.0086
No log	8.9767	386	1.0099	0.4462	1.0099	1.0049
No log	9.0233	388	1.0158	0.4354	1.0158	1.0079
No log	9.0698	390	1.0147	0.4263	1.0147	1.0073
No log	9.1163	392	1.0293	0.4263	1.0293	1.0146
No log	9.1628	394	1.0346	0.4115	1.0346	1.0171
No log	9.2093	396	1.0409	0.4175	1.0409	1.0202
No log	9.2558	398	1.0410	0.4175	1.0410	1.0203
No log	9.3023	400	1.0372	0.4174	1.0372	1.0184
No log	9.3488	402	1.0310	0.4174	1.0310	1.0154
No log	9.3953	404	1.0152	0.4174	1.0152	1.0076
No log	9.4419	406	0.9992	0.4174	0.9992	0.9996
No log	9.4884	408	0.9938	0.4175	0.9938	0.9969
No log	9.5349	410	0.9933	0.4175	0.9933	0.9967
No log	9.5814	412	0.9961	0.4175	0.9961	0.9980
No log	9.6279	414	1.0008	0.4175	1.0008	1.0004
No log	9.6744	416	0.9985	0.4175	0.9985	0.9993
No log	9.7209	418	0.9906	0.4175	0.9906	0.9953
No log	9.7674	420	0.9842	0.4234	0.9842	0.9921
No log	9.8140	422	0.9830	0.4234	0.9830	0.9915
No log	9.8605	424	0.9844	0.4234	0.9844	0.9922
No log	9.9070	426	0.9845	0.4234	0.9845	0.9922
No log	9.9535	428	0.9862	0.4234	0.9862	0.9931
No log	10.0	430	0.9868	0.4234	0.9868	0.9934

Framework versions

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