Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask4_vocabulary

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: 0.4296
• Qwk: 0.6237
• Mse: 0.4296
• Rmse: 0.6555

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	0.0187	2	5.1151	0.0068	5.1151	2.2617
No log	0.0374	4	3.5702	0.0652	3.5702	1.8895
No log	0.0561	6	1.9152	0.1201	1.9152	1.3839
No log	0.0748	8	0.9999	0.1753	0.9999	1.0000
No log	0.0935	10	0.8377	0.1317	0.8377	0.9153
No log	0.1121	12	0.7951	0.2575	0.7951	0.8917
No log	0.1308	14	0.8093	0.1858	0.8093	0.8996
No log	0.1495	16	0.7734	0.1304	0.7734	0.8794
No log	0.1682	18	0.7411	0.1491	0.7411	0.8609
No log	0.1869	20	0.7567	0.2319	0.7567	0.8699
No log	0.2056	22	0.7552	0.3521	0.7552	0.8690
No log	0.2243	24	0.7195	0.3650	0.7195	0.8482
No log	0.2430	26	0.7216	0.4096	0.7216	0.8494
No log	0.2617	28	0.6824	0.4251	0.6824	0.8261
No log	0.2804	30	0.6116	0.4286	0.6116	0.7820
No log	0.2991	32	0.6070	0.4357	0.6070	0.7791
No log	0.3178	34	0.5655	0.5077	0.5655	0.7520
No log	0.3364	36	0.5314	0.5237	0.5314	0.7290
No log	0.3551	38	0.5509	0.5343	0.5509	0.7422
No log	0.3738	40	0.5430	0.5290	0.5430	0.7369
No log	0.3925	42	0.4972	0.5650	0.4972	0.7051
No log	0.4112	44	0.5113	0.5426	0.5113	0.7150
No log	0.4299	46	0.5414	0.5683	0.5414	0.7358
No log	0.4486	48	0.5381	0.5784	0.5381	0.7335
No log	0.4673	50	0.5352	0.5833	0.5352	0.7316
No log	0.4860	52	0.5309	0.5825	0.5309	0.7287
No log	0.5047	54	0.5245	0.5480	0.5245	0.7242
No log	0.5234	56	0.5343	0.4985	0.5343	0.7309
No log	0.5421	58	0.5758	0.4740	0.5758	0.7588
No log	0.5607	60	0.5621	0.4643	0.5621	0.7497
No log	0.5794	62	0.5016	0.5045	0.5016	0.7083
No log	0.5981	64	0.5002	0.5483	0.5002	0.7073
No log	0.6168	66	0.4606	0.5896	0.4606	0.6787
No log	0.6355	68	0.4393	0.6448	0.4393	0.6628
No log	0.6542	70	0.4239	0.6044	0.4239	0.6511
No log	0.6729	72	0.4257	0.6037	0.4257	0.6524
No log	0.6916	74	0.4841	0.5658	0.4841	0.6957
No log	0.7103	76	0.5178	0.5473	0.5178	0.7196
No log	0.7290	78	0.4747	0.5645	0.4747	0.6890
No log	0.7477	80	0.4316	0.6240	0.4316	0.6570
No log	0.7664	82	0.4240	0.6501	0.4240	0.6511
No log	0.7850	84	0.4667	0.6671	0.4667	0.6831
No log	0.8037	86	0.4828	0.6706	0.4828	0.6949
No log	0.8224	88	0.4280	0.6956	0.4280	0.6542
No log	0.8411	90	0.4324	0.6494	0.4324	0.6576
No log	0.8598	92	0.3981	0.6621	0.3981	0.6309
No log	0.8785	94	0.4367	0.6497	0.4367	0.6608
No log	0.8972	96	0.4323	0.6446	0.4323	0.6575
No log	0.9159	98	0.4346	0.6169	0.4346	0.6592
No log	0.9346	100	0.4479	0.6199	0.4479	0.6692
No log	0.9533	102	0.4237	0.6225	0.4237	0.6509
No log	0.9720	104	0.4681	0.6090	0.4681	0.6842
No log	0.9907	106	0.5188	0.5808	0.5188	0.7203
No log	1.0093	108	0.4809	0.5984	0.4809	0.6935
No log	1.0280	110	0.4232	0.6335	0.4232	0.6505
No log	1.0467	112	0.4360	0.6017	0.4360	0.6603
No log	1.0654	114	0.4424	0.5964	0.4424	0.6651
No log	1.0841	116	0.4270	0.6521	0.4270	0.6535
No log	1.1028	118	0.4615	0.6251	0.4615	0.6794
No log	1.1215	120	0.5120	0.6079	0.5120	0.7155
No log	1.1402	122	0.4763	0.6152	0.4763	0.6902
No log	1.1589	124	0.4339	0.6675	0.4339	0.6587
No log	1.1776	126	0.4792	0.6642	0.4792	0.6922
No log	1.1963	128	0.4370	0.6533	0.4370	0.6610
No log	1.2150	130	0.4735	0.6585	0.4735	0.6881
No log	1.2336	132	0.5326	0.6054	0.5326	0.7298
No log	1.2523	134	0.4769	0.6112	0.4769	0.6905
No log	1.2710	136	0.4556	0.6353	0.4556	0.6750
No log	1.2897	138	0.7194	0.5264	0.7194	0.8482
No log	1.3084	140	0.7037	0.5179	0.7037	0.8389
No log	1.3271	142	0.6053	0.4987	0.6053	0.7780
No log	1.3458	144	0.5330	0.5247	0.5330	0.7301
No log	1.3645	146	0.5008	0.5601	0.5008	0.7077
No log	1.3832	148	0.4687	0.5768	0.4687	0.6846
No log	1.4019	150	0.4397	0.6651	0.4397	0.6631
No log	1.4206	152	0.4456	0.6656	0.4456	0.6676
No log	1.4393	154	0.4633	0.6863	0.4633	0.6807
No log	1.4579	156	0.5210	0.6235	0.5210	0.7218
No log	1.4766	158	0.6128	0.5996	0.6128	0.7828
No log	1.4953	160	0.5522	0.6054	0.5522	0.7431
No log	1.5140	162	0.4503	0.6364	0.4503	0.6710
No log	1.5327	164	0.5143	0.5957	0.5143	0.7172
No log	1.5514	166	0.5861	0.5595	0.5861	0.7655
No log	1.5701	168	0.4833	0.6169	0.4833	0.6952
No log	1.5888	170	0.4341	0.6043	0.4341	0.6589
No log	1.6075	172	0.4456	0.5935	0.4456	0.6675
No log	1.6262	174	0.4673	0.5670	0.4673	0.6836
No log	1.6449	176	0.4628	0.5890	0.4628	0.6803
No log	1.6636	178	0.4717	0.6367	0.4717	0.6868
No log	1.6822	180	0.6264	0.6031	0.6264	0.7914
No log	1.7009	182	0.8957	0.5608	0.8957	0.9464
No log	1.7196	184	0.9124	0.5436	0.9124	0.9552
No log	1.7383	186	0.6478	0.5944	0.6478	0.8049
No log	1.7570	188	0.4457	0.6657	0.4457	0.6676
No log	1.7757	190	0.4624	0.6249	0.4624	0.6800
No log	1.7944	192	0.5610	0.5215	0.5610	0.7490
No log	1.8131	194	0.4946	0.5463	0.4946	0.7033
No log	1.8318	196	0.4401	0.6351	0.4401	0.6634
No log	1.8505	198	0.4069	0.6567	0.4069	0.6379
No log	1.8692	200	0.3985	0.7022	0.3985	0.6312
No log	1.8879	202	0.3985	0.6996	0.3985	0.6313
No log	1.9065	204	0.4031	0.6838	0.4031	0.6349
No log	1.9252	206	0.3788	0.7174	0.3788	0.6155
No log	1.9439	208	0.3671	0.7107	0.3671	0.6059
No log	1.9626	210	0.3665	0.6840	0.3665	0.6054
No log	1.9813	212	0.3654	0.7132	0.3654	0.6045
No log	2.0	214	0.3746	0.6697	0.3746	0.6120
No log	2.0187	216	0.4697	0.6798	0.4697	0.6853
No log	2.0374	218	0.4888	0.6470	0.4888	0.6992
No log	2.0561	220	0.3865	0.7110	0.3865	0.6217
No log	2.0748	222	0.5405	0.6280	0.5405	0.7352
No log	2.0935	224	0.6085	0.6104	0.6085	0.7801
No log	2.1121	226	0.4186	0.7247	0.4186	0.6470
No log	2.1308	228	0.4729	0.6658	0.4729	0.6876
No log	2.1495	230	0.5579	0.6153	0.5579	0.7470
No log	2.1682	232	0.5132	0.6208	0.5132	0.7164
No log	2.1869	234	0.4816	0.6515	0.4816	0.6940
No log	2.2056	236	0.4244	0.6734	0.4244	0.6515
No log	2.2243	238	0.4065	0.7224	0.4065	0.6376
No log	2.2430	240	0.5097	0.6560	0.5097	0.7139
No log	2.2617	242	0.4721	0.6718	0.4721	0.6871
No log	2.2804	244	0.4052	0.6489	0.4052	0.6366
No log	2.2991	246	0.4194	0.6121	0.4194	0.6476
No log	2.3178	248	0.4305	0.5678	0.4305	0.6562
No log	2.3364	250	0.4314	0.5619	0.4314	0.6568
No log	2.3551	252	0.4499	0.5918	0.4499	0.6707
No log	2.3738	254	0.4893	0.6071	0.4893	0.6995
No log	2.3925	256	0.4782	0.6235	0.4782	0.6915
No log	2.4112	258	0.4547	0.6885	0.4547	0.6743
No log	2.4299	260	0.3911	0.7325	0.3911	0.6254
No log	2.4486	262	0.3953	0.7072	0.3953	0.6288
No log	2.4673	264	0.4589	0.6617	0.4589	0.6774
No log	2.4860	266	0.4169	0.6659	0.4169	0.6457
No log	2.5047	268	0.4307	0.6563	0.4307	0.6563
No log	2.5234	270	0.5538	0.6284	0.5538	0.7442
No log	2.5421	272	0.5301	0.6229	0.5301	0.7280
No log	2.5607	274	0.5289	0.6397	0.5289	0.7272
No log	2.5794	276	0.4600	0.6356	0.4600	0.6782
No log	2.5981	278	0.4485	0.6435	0.4485	0.6697
No log	2.6168	280	0.4442	0.6564	0.4442	0.6665
No log	2.6355	282	0.4288	0.6609	0.4288	0.6548
No log	2.6542	284	0.4716	0.6707	0.4716	0.6868
No log	2.6729	286	0.5568	0.6183	0.5568	0.7462
No log	2.6916	288	0.5851	0.6510	0.5851	0.7650
No log	2.7103	290	0.5592	0.6731	0.5592	0.7478
No log	2.7290	292	0.5077	0.6882	0.5077	0.7125
No log	2.7477	294	0.5106	0.7038	0.5106	0.7146
No log	2.7664	296	0.4709	0.7127	0.4709	0.6862
No log	2.7850	298	0.4347	0.7074	0.4347	0.6593
No log	2.8037	300	0.4121	0.6976	0.4121	0.6420
No log	2.8224	302	0.3938	0.7243	0.3938	0.6275
No log	2.8411	304	0.3892	0.6857	0.3892	0.6238
No log	2.8598	306	0.4401	0.6372	0.4401	0.6634
No log	2.8785	308	0.4208	0.6078	0.4208	0.6487
No log	2.8972	310	0.4404	0.6034	0.4404	0.6636
No log	2.9159	312	0.4830	0.6108	0.4830	0.6950
No log	2.9346	314	0.4747	0.6250	0.4747	0.6890
No log	2.9533	316	0.3987	0.6449	0.3987	0.6314
No log	2.9720	318	0.3882	0.6814	0.3882	0.6231
No log	2.9907	320	0.3927	0.6684	0.3927	0.6266
No log	3.0093	322	0.4357	0.6411	0.4357	0.6601
No log	3.0280	324	0.5752	0.6158	0.5752	0.7584
No log	3.0467	326	0.6273	0.6003	0.6273	0.7920
No log	3.0654	328	0.5258	0.6445	0.5258	0.7251
No log	3.0841	330	0.4486	0.6853	0.4486	0.6698
No log	3.1028	332	0.4256	0.6661	0.4256	0.6524
No log	3.1215	334	0.4146	0.6973	0.4146	0.6439
No log	3.1402	336	0.4124	0.7023	0.4124	0.6422
No log	3.1589	338	0.4016	0.7063	0.4016	0.6337
No log	3.1776	340	0.3812	0.7011	0.3812	0.6174
No log	3.1963	342	0.4411	0.6541	0.4411	0.6641
No log	3.2150	344	0.6437	0.6371	0.6437	0.8023
No log	3.2336	346	0.6617	0.6283	0.6617	0.8134
No log	3.2523	348	0.4898	0.6699	0.4898	0.6999
No log	3.2710	350	0.3686	0.7194	0.3686	0.6071
No log	3.2897	352	0.4297	0.6561	0.4297	0.6555
No log	3.3084	354	0.4180	0.6669	0.4180	0.6465
No log	3.3271	356	0.3951	0.6398	0.3951	0.6286
No log	3.3458	358	0.4012	0.6495	0.4012	0.6334
No log	3.3645	360	0.4840	0.6226	0.4840	0.6957
No log	3.3832	362	0.5195	0.5963	0.5195	0.7208
No log	3.4019	364	0.4473	0.6482	0.4473	0.6688
No log	3.4206	366	0.4205	0.6628	0.4205	0.6484
No log	3.4393	368	0.4265	0.6626	0.4265	0.6531
No log	3.4579	370	0.4358	0.6450	0.4358	0.6602
No log	3.4766	372	0.4570	0.6250	0.4570	0.6760
No log	3.4953	374	0.4516	0.6302	0.4516	0.6720
No log	3.5140	376	0.4279	0.7192	0.4279	0.6542
No log	3.5327	378	0.4179	0.7316	0.4179	0.6465
No log	3.5514	380	0.4167	0.7198	0.4167	0.6455
No log	3.5701	382	0.4853	0.6814	0.4853	0.6967
No log	3.5888	384	0.4450	0.6744	0.4450	0.6671
No log	3.6075	386	0.3983	0.7165	0.3983	0.6311
No log	3.6262	388	0.4075	0.6999	0.4075	0.6384
No log	3.6449	390	0.4164	0.7053	0.4164	0.6453
No log	3.6636	392	0.4562	0.6958	0.4562	0.6755
No log	3.6822	394	0.4705	0.6739	0.4705	0.6859
No log	3.7009	396	0.4286	0.6753	0.4286	0.6547
No log	3.7196	398	0.4178	0.6713	0.4178	0.6464
No log	3.7383	400	0.4059	0.6994	0.4059	0.6371
No log	3.7570	402	0.4110	0.6991	0.4110	0.6411
No log	3.7757	404	0.4145	0.7093	0.4145	0.6438
No log	3.7944	406	0.4293	0.7072	0.4293	0.6552
No log	3.8131	408	0.4543	0.6910	0.4543	0.6740
No log	3.8318	410	0.4774	0.6191	0.4774	0.6909
No log	3.8505	412	0.4401	0.6362	0.4401	0.6634
No log	3.8692	414	0.4164	0.6687	0.4164	0.6453
No log	3.8879	416	0.4056	0.6838	0.4056	0.6368
No log	3.9065	418	0.3971	0.7096	0.3971	0.6302
No log	3.9252	420	0.4302	0.7090	0.4302	0.6559
No log	3.9439	422	0.4382	0.7258	0.4382	0.6620
No log	3.9626	424	0.5416	0.7074	0.5416	0.7360
No log	3.9813	426	0.6486	0.6516	0.6486	0.8054
No log	4.0	428	0.5780	0.6419	0.5780	0.7603
No log	4.0187	430	0.4314	0.6825	0.4314	0.6568
No log	4.0374	432	0.4034	0.6911	0.4034	0.6351
No log	4.0561	434	0.4087	0.6692	0.4087	0.6393
No log	4.0748	436	0.4253	0.6452	0.4253	0.6522
No log	4.0935	438	0.4497	0.6673	0.4497	0.6706
No log	4.1121	440	0.5068	0.6194	0.5068	0.7119
No log	4.1308	442	0.5921	0.6564	0.5921	0.7695
No log	4.1495	444	0.6122	0.6776	0.6122	0.7824
No log	4.1682	446	0.4810	0.7068	0.4810	0.6935
No log	4.1869	448	0.4615	0.7046	0.4615	0.6793
No log	4.2056	450	0.5127	0.6824	0.5127	0.7160
No log	4.2243	452	0.5892	0.6763	0.5892	0.7676
No log	4.2430	454	0.4735	0.6674	0.4735	0.6881
No log	4.2617	456	0.4087	0.7050	0.4087	0.6393
No log	4.2804	458	0.4068	0.6862	0.4068	0.6378
No log	4.2991	460	0.3943	0.6731	0.3943	0.6279
No log	4.3178	462	0.4512	0.6465	0.4512	0.6717
No log	4.3364	464	0.5694	0.6233	0.5694	0.7546
No log	4.3551	466	0.5487	0.6255	0.5487	0.7407
No log	4.3738	468	0.4411	0.6840	0.4411	0.6641
No log	4.3925	470	0.3963	0.6964	0.3963	0.6295
No log	4.4112	472	0.3996	0.7308	0.3996	0.6321
No log	4.4299	474	0.4298	0.7266	0.4298	0.6556
No log	4.4486	476	0.5479	0.7124	0.5479	0.7402
No log	4.4673	478	0.7202	0.6823	0.7202	0.8486
No log	4.4860	480	0.7451	0.6525	0.7451	0.8632
No log	4.5047	482	0.5639	0.6767	0.5639	0.7509
No log	4.5234	484	0.3987	0.7034	0.3987	0.6314
No log	4.5421	486	0.4199	0.6867	0.4199	0.6480
No log	4.5607	488	0.4477	0.6663	0.4477	0.6691
No log	4.5794	490	0.4484	0.6542	0.4484	0.6696
No log	4.5981	492	0.4205	0.6265	0.4205	0.6484
No log	4.6168	494	0.4341	0.6127	0.4341	0.6589
No log	4.6355	496	0.5222	0.5907	0.5222	0.7226
No log	4.6542	498	0.5172	0.6166	0.5172	0.7191
0.5012	4.6729	500	0.4727	0.6292	0.4727	0.6875
0.5012	4.6916	502	0.3990	0.6992	0.3990	0.6317
0.5012	4.7103	504	0.3947	0.6996	0.3947	0.6282
0.5012	4.7290	506	0.4120	0.7279	0.4120	0.6419
0.5012	4.7477	508	0.4700	0.7198	0.4700	0.6856
0.5012	4.7664	510	0.6670	0.6538	0.6670	0.8167
0.5012	4.7850	512	0.7010	0.6284	0.7010	0.8372
0.5012	4.8037	514	0.6348	0.6636	0.6348	0.7967
0.5012	4.8224	516	0.5567	0.6783	0.5567	0.7461
0.5012	4.8411	518	0.4841	0.6988	0.4841	0.6958
0.5012	4.8598	520	0.4408	0.6900	0.4408	0.6640
0.5012	4.8785	522	0.4594	0.6874	0.4594	0.6778
0.5012	4.8972	524	0.4504	0.6723	0.4504	0.6711
0.5012	4.9159	526	0.4226	0.6992	0.4226	0.6501
0.5012	4.9346	528	0.4024	0.7080	0.4024	0.6344
0.5012	4.9533	530	0.4302	0.6822	0.4302	0.6559
0.5012	4.9720	532	0.4002	0.7310	0.4002	0.6326
0.5012	4.9907	534	0.4026	0.7421	0.4026	0.6345
0.5012	5.0093	536	0.4240	0.7018	0.4240	0.6511
0.5012	5.0280	538	0.4530	0.7052	0.4530	0.6731
0.5012	5.0467	540	0.4630	0.6924	0.4630	0.6804
0.5012	5.0654	542	0.4842	0.6902	0.4842	0.6958
0.5012	5.0841	544	0.4241	0.6801	0.4241	0.6512
0.5012	5.1028	546	0.4143	0.6889	0.4143	0.6437
0.5012	5.1215	548	0.4461	0.6622	0.4461	0.6679
0.5012	5.1402	550	0.6099	0.6130	0.6099	0.7810
0.5012	5.1589	552	0.6845	0.5782	0.6845	0.8274
0.5012	5.1776	554	0.5880	0.6234	0.5880	0.7668
0.5012	5.1963	556	0.4428	0.6640	0.4428	0.6654
0.5012	5.2150	558	0.4055	0.6661	0.4055	0.6368
0.5012	5.2336	560	0.4284	0.6819	0.4284	0.6545
0.5012	5.2523	562	0.5121	0.6582	0.5121	0.7156
0.5012	5.2710	564	0.5140	0.6611	0.5140	0.7170
0.5012	5.2897	566	0.4347	0.7092	0.4347	0.6593
0.5012	5.3084	568	0.4080	0.7014	0.4080	0.6387
0.5012	5.3271	570	0.4263	0.6988	0.4263	0.6529
0.5012	5.3458	572	0.5351	0.6726	0.5351	0.7315
0.5012	5.3645	574	0.5778	0.6509	0.5778	0.7601
0.5012	5.3832	576	0.4587	0.6751	0.4587	0.6773
0.5012	5.4019	578	0.3949	0.6931	0.3949	0.6284
0.5012	5.4206	580	0.3902	0.7102	0.3902	0.6246
0.5012	5.4393	582	0.3968	0.6880	0.3968	0.6299
0.5012	5.4579	584	0.4255	0.6605	0.4255	0.6523
0.5012	5.4766	586	0.4429	0.6609	0.4429	0.6655
0.5012	5.4953	588	0.4504	0.6833	0.4504	0.6711
0.5012	5.5140	590	0.5034	0.6570	0.5034	0.7095
0.5012	5.5327	592	0.5353	0.6700	0.5353	0.7316
0.5012	5.5514	594	0.5068	0.6587	0.5068	0.7119
0.5012	5.5701	596	0.4610	0.6931	0.4610	0.6790
0.5012	5.5888	598	0.4478	0.6768	0.4478	0.6692
0.5012	5.6075	600	0.4716	0.6652	0.4716	0.6867
0.5012	5.6262	602	0.5286	0.6250	0.5286	0.7270
0.5012	5.6449	604	0.5020	0.6095	0.5020	0.7085
0.5012	5.6636	606	0.4523	0.5837	0.4523	0.6726
0.5012	5.6822	608	0.4292	0.6267	0.4292	0.6551
0.5012	5.7009	610	0.4296	0.6237	0.4296	0.6555

Framework versions

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