Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask8_development

MayBashendy/Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask8_development

Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask8_development is a text classification model from MayBashendy. Use it when you need a label for a piece of text. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: Jan 22, 2025
Updated: Jan 22, 2025
SHA: 8988bc95

Try a prompt

Base models

aubmindlab/bert-base-arabertv02

Model card

From the Hugging Face model README

Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask8_development

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: 0.4744
Qwk: 0.5496
Mse: 0.4744
Rmse: 0.6887

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	0.0196	2	4.1841	0.0131	4.1841	2.0455
No log	0.0392	4	3.3694	0.0367	3.3694	1.8356
No log	0.0588	6	1.9011	0.1218	1.9011	1.3788
No log	0.0784	8	0.8092	0.1659	0.8092	0.8996
No log	0.0980	10	0.7372	0.1594	0.7372	0.8586
No log	0.1176	12	0.7884	0.0895	0.7884	0.8879
No log	0.1373	14	0.7668	0.3157	0.7668	0.8756
No log	0.1569	16	0.7860	0.2846	0.7860	0.8866
No log	0.1765	18	0.6591	0.2790	0.6591	0.8119
No log	0.1961	20	0.6420	0.2728	0.6420	0.8012
No log	0.2157	22	0.6233	0.3185	0.6233	0.7895
No log	0.2353	24	0.6843	0.1790	0.6843	0.8272
No log	0.2549	26	0.6878	0.2016	0.6878	0.8293
No log	0.2745	28	0.6001	0.3500	0.6001	0.7747
No log	0.2941	30	0.5105	0.4622	0.5105	0.7145
No log	0.3137	32	0.5104	0.5258	0.5104	0.7145
No log	0.3333	34	0.5323	0.5412	0.5323	0.7296
No log	0.3529	36	0.5752	0.5265	0.5752	0.7584
No log	0.3725	38	0.7106	0.4847	0.7106	0.8430
No log	0.3922	40	0.9041	0.2287	0.9041	0.9508
No log	0.4118	42	1.0775	0.0384	1.0775	1.0380
No log	0.4314	44	1.3162	-0.1270	1.3162	1.1473
No log	0.4510	46	1.4042	-0.0351	1.4042	1.1850
No log	0.4706	48	1.1193	0.0766	1.1193	1.0580
No log	0.4902	50	0.7738	0.2692	0.7738	0.8796
No log	0.5098	52	0.6622	0.5501	0.6622	0.8137
No log	0.5294	54	0.5766	0.5594	0.5766	0.7594
No log	0.5490	56	0.5125	0.4951	0.5125	0.7159
No log	0.5686	58	0.6476	0.3506	0.6476	0.8047
No log	0.5882	60	0.8667	0.1810	0.8667	0.9310
No log	0.6078	62	0.9499	0.2013	0.9499	0.9746
No log	0.6275	64	0.9296	0.3390	0.9296	0.9642
No log	0.6471	66	0.8488	0.3626	0.8488	0.9213
No log	0.6667	68	0.6706	0.4117	0.6706	0.8189
No log	0.6863	70	0.5390	0.4752	0.5390	0.7341
No log	0.7059	72	0.5347	0.5345	0.5347	0.7312
No log	0.7255	74	0.5187	0.5375	0.5187	0.7202
No log	0.7451	76	0.5044	0.4763	0.5044	0.7102
No log	0.7647	78	0.5615	0.3887	0.5615	0.7494
No log	0.7843	80	0.5810	0.3887	0.5810	0.7623
No log	0.8039	82	0.5343	0.3959	0.5343	0.7309
No log	0.8235	84	0.5005	0.4515	0.5005	0.7074
No log	0.8431	86	0.4904	0.4729	0.4904	0.7003
No log	0.8627	88	0.4824	0.4530	0.4824	0.6946
No log	0.8824	90	0.4866	0.4353	0.4866	0.6975
No log	0.9020	92	0.5003	0.4346	0.5003	0.7073
No log	0.9216	94	0.4784	0.4640	0.4784	0.6917
No log	0.9412	96	0.4885	0.5290	0.4885	0.6989
No log	0.9608	98	0.4879	0.5156	0.4879	0.6985
No log	0.9804	100	0.4785	0.4936	0.4785	0.6917
No log	1.0	102	0.4815	0.4512	0.4815	0.6939
No log	1.0196	104	0.4857	0.5196	0.4857	0.6969
No log	1.0392	106	0.4887	0.5268	0.4887	0.6990
No log	1.0588	108	0.5089	0.4412	0.5089	0.7134
No log	1.0784	110	0.5336	0.4314	0.5336	0.7305
No log	1.0980	112	0.5377	0.4244	0.5377	0.7333
No log	1.1176	114	0.5137	0.4316	0.5137	0.7168
No log	1.1373	116	0.4879	0.4468	0.4879	0.6985
No log	1.1569	118	0.4711	0.4601	0.4711	0.6863
No log	1.1765	120	0.4621	0.5111	0.4621	0.6798
No log	1.1961	122	0.4667	0.5566	0.4667	0.6831
No log	1.2157	124	0.4836	0.5890	0.4836	0.6954
No log	1.2353	126	0.4990	0.6142	0.4990	0.7064
No log	1.2549	128	0.4753	0.5914	0.4753	0.6894
No log	1.2745	130	0.4727	0.5242	0.4727	0.6876
No log	1.2941	132	0.5021	0.4952	0.5021	0.7086
No log	1.3137	134	0.5289	0.4505	0.5289	0.7272
No log	1.3333	136	0.5100	0.5243	0.5100	0.7141
No log	1.3529	138	0.4521	0.5791	0.4521	0.6724
No log	1.3725	140	0.4599	0.5734	0.4599	0.6782
No log	1.3922	142	0.4724	0.5813	0.4724	0.6873
No log	1.4118	144	0.4366	0.5448	0.4366	0.6608
No log	1.4314	146	0.4612	0.4622	0.4612	0.6791
No log	1.4510	148	0.4764	0.4448	0.4764	0.6902
No log	1.4706	150	0.4935	0.4061	0.4935	0.7025
No log	1.4902	152	0.4972	0.3890	0.4972	0.7051
No log	1.5098	154	0.5366	0.3545	0.5366	0.7325
No log	1.5294	156	0.5402	0.4241	0.5402	0.7350
No log	1.5490	158	0.6181	0.4375	0.6181	0.7862
No log	1.5686	160	0.5969	0.4819	0.5969	0.7726
No log	1.5882	162	0.5734	0.4808	0.5734	0.7572
No log	1.6078	164	0.5033	0.5482	0.5033	0.7094
No log	1.6275	166	0.4178	0.5609	0.4178	0.6464
No log	1.6471	168	0.3978	0.5996	0.3978	0.6307
No log	1.6667	170	0.4323	0.6139	0.4323	0.6575
No log	1.6863	172	0.6541	0.4722	0.6541	0.8088
No log	1.7059	174	0.8573	0.2931	0.8573	0.9259
No log	1.7255	176	0.8885	0.2441	0.8885	0.9426
No log	1.7451	178	0.7695	0.2974	0.7695	0.8772
No log	1.7647	180	0.5498	0.4455	0.5498	0.7415
No log	1.7843	182	0.4817	0.5358	0.4817	0.6940
No log	1.8039	184	0.4472	0.5495	0.4472	0.6687
No log	1.8235	186	0.4160	0.5757	0.4160	0.6449
No log	1.8431	188	0.4343	0.5719	0.4343	0.6590
No log	1.8627	190	0.4952	0.5948	0.4952	0.7037
No log	1.8824	192	0.5036	0.6279	0.5036	0.7097
No log	1.9020	194	0.5333	0.6159	0.5333	0.7303
No log	1.9216	196	0.6532	0.5700	0.6532	0.8082
No log	1.9412	198	0.7827	0.5312	0.7827	0.8847
No log	1.9608	200	0.7066	0.5591	0.7066	0.8406
No log	1.9804	202	0.5262	0.6230	0.5262	0.7254
No log	2.0	204	0.4205	0.6781	0.4205	0.6485
No log	2.0196	206	0.4190	0.6787	0.4190	0.6473
No log	2.0392	208	0.4111	0.6455	0.4111	0.6412
No log	2.0588	210	0.4902	0.5994	0.4902	0.7002
No log	2.0784	212	0.5573	0.5412	0.5573	0.7465
No log	2.0980	214	0.5682	0.4939	0.5682	0.7538
No log	2.1176	216	0.4962	0.5011	0.4962	0.7044
No log	2.1373	218	0.4108	0.5544	0.4108	0.6409
No log	2.1569	220	0.4203	0.5450	0.4203	0.6483
No log	2.1765	222	0.4189	0.5790	0.4189	0.6472
No log	2.1961	224	0.4279	0.5636	0.4279	0.6542
No log	2.2157	226	0.4954	0.5324	0.4954	0.7038
No log	2.2353	228	0.5269	0.5106	0.5269	0.7259
No log	2.2549	230	0.5232	0.5579	0.5232	0.7233
No log	2.2745	232	0.5288	0.5619	0.5288	0.7272
No log	2.2941	234	0.5143	0.5511	0.5143	0.7172
No log	2.3137	236	0.4644	0.5513	0.4644	0.6815
No log	2.3333	238	0.4138	0.6471	0.4138	0.6432
No log	2.3529	240	0.3884	0.6629	0.3884	0.6232
No log	2.3725	242	0.3927	0.6557	0.3927	0.6267
No log	2.3922	244	0.3944	0.6635	0.3944	0.6280
No log	2.4118	246	0.3940	0.6623	0.3940	0.6277
No log	2.4314	248	0.3832	0.6799	0.3832	0.6190
No log	2.4510	250	0.4090	0.6555	0.4090	0.6395
No log	2.4706	252	0.4466	0.6028	0.4466	0.6683
No log	2.4902	254	0.3929	0.6773	0.3929	0.6268
No log	2.5098	256	0.3974	0.6707	0.3974	0.6304
No log	2.5294	258	0.4757	0.6320	0.4757	0.6897
No log	2.5490	260	0.4944	0.6079	0.4944	0.7032
No log	2.5686	262	0.4317	0.6371	0.4317	0.6570
No log	2.5882	264	0.3744	0.6526	0.3744	0.6119
No log	2.6078	266	0.3651	0.6791	0.3651	0.6043
No log	2.6275	268	0.4125	0.6363	0.4125	0.6423
No log	2.6471	270	0.4578	0.5314	0.4578	0.6766
No log	2.6667	272	0.4430	0.5414	0.4430	0.6656
No log	2.6863	274	0.3968	0.6002	0.3968	0.6299
No log	2.7059	276	0.3961	0.6380	0.3961	0.6293
No log	2.7255	278	0.4105	0.6220	0.4105	0.6407
No log	2.7451	280	0.3911	0.6973	0.3911	0.6254
No log	2.7647	282	0.4421	0.6408	0.4421	0.6649
No log	2.7843	284	0.4349	0.6583	0.4349	0.6595
No log	2.8039	286	0.4395	0.6099	0.4395	0.6629
No log	2.8235	288	0.5627	0.5675	0.5627	0.7501
No log	2.8431	290	0.6906	0.5024	0.6906	0.8310
No log	2.8627	292	0.6768	0.5171	0.6768	0.8227
No log	2.8824	294	0.5395	0.5487	0.5395	0.7345
No log	2.9020	296	0.4011	0.5961	0.4011	0.6333
No log	2.9216	298	0.3767	0.6281	0.3767	0.6138
No log	2.9412	300	0.3731	0.6307	0.3731	0.6108
No log	2.9608	302	0.3733	0.6302	0.3733	0.6110
No log	2.9804	304	0.3923	0.6146	0.3923	0.6263
No log	3.0	306	0.4366	0.5960	0.4366	0.6608
No log	3.0196	308	0.4666	0.5604	0.4666	0.6831
No log	3.0392	310	0.4672	0.5359	0.4672	0.6835
No log	3.0588	312	0.4776	0.5247	0.4776	0.6911
No log	3.0784	314	0.4671	0.5237	0.4671	0.6835
No log	3.0980	316	0.4310	0.5414	0.4310	0.6565
No log	3.1176	318	0.4162	0.6106	0.4162	0.6452
No log	3.1373	320	0.4076	0.6551	0.4076	0.6384
No log	3.1569	322	0.4237	0.6314	0.4237	0.6509
No log	3.1765	324	0.4840	0.5888	0.4840	0.6957
No log	3.1961	326	0.6137	0.4932	0.6137	0.7834
No log	3.2157	328	0.5753	0.4731	0.5753	0.7585
No log	3.2353	330	0.4805	0.6064	0.4805	0.6932
No log	3.2549	332	0.4217	0.6140	0.4217	0.6494
No log	3.2745	334	0.3974	0.6458	0.3974	0.6304
No log	3.2941	336	0.3710	0.6747	0.3710	0.6091
No log	3.3137	338	0.4048	0.6140	0.4048	0.6362
No log	3.3333	340	0.5067	0.5906	0.5067	0.7118
No log	3.3529	342	0.6642	0.5414	0.6642	0.8150
No log	3.3725	344	0.7039	0.5523	0.7039	0.8390
No log	3.3922	346	0.6753	0.5581	0.6753	0.8218
No log	3.4118	348	0.6209	0.5491	0.6209	0.7880
No log	3.4314	350	0.5268	0.5986	0.5268	0.7258
No log	3.4510	352	0.4626	0.6267	0.4626	0.6801
No log	3.4706	354	0.4954	0.6171	0.4954	0.7038
No log	3.4902	356	0.4323	0.6406	0.4323	0.6575
No log	3.5098	358	0.3964	0.6615	0.3964	0.6296
No log	3.5294	360	0.4061	0.6569	0.4061	0.6373
No log	3.5490	362	0.4473	0.6272	0.4473	0.6688
No log	3.5686	364	0.4778	0.6258	0.4778	0.6912
No log	3.5882	366	0.4399	0.6280	0.4399	0.6632
No log	3.6078	368	0.3799	0.6522	0.3799	0.6164
No log	3.6275	370	0.3705	0.6574	0.3705	0.6086
No log	3.6471	372	0.3639	0.6801	0.3639	0.6032
No log	3.6667	374	0.3709	0.6699	0.3709	0.6090
No log	3.6863	376	0.3922	0.6858	0.3922	0.6263
No log	3.7059	378	0.4650	0.6645	0.4650	0.6819
No log	3.7255	380	0.6518	0.5943	0.6518	0.8074
No log	3.7451	382	0.7646	0.5710	0.7646	0.8744
No log	3.7647	384	0.6800	0.5919	0.6800	0.8246
No log	3.7843	386	0.5751	0.6490	0.5751	0.7584
No log	3.8039	388	0.4510	0.6615	0.4510	0.6716
No log	3.8235	390	0.3944	0.6827	0.3944	0.6280
No log	3.8431	392	0.4086	0.7073	0.4086	0.6392
No log	3.8627	394	0.3946	0.6889	0.3946	0.6282
No log	3.8824	396	0.4322	0.6692	0.4322	0.6574
No log	3.9020	398	0.4777	0.6067	0.4777	0.6912
No log	3.9216	400	0.4779	0.5876	0.4779	0.6913
No log	3.9412	402	0.4130	0.6279	0.4130	0.6426
No log	3.9608	404	0.3920	0.6695	0.3920	0.6261
No log	3.9804	406	0.4034	0.6527	0.4034	0.6351
No log	4.0	408	0.4123	0.6516	0.4123	0.6421
No log	4.0196	410	0.4488	0.5796	0.4488	0.6699
No log	4.0392	412	0.5374	0.5288	0.5374	0.7331
No log	4.0588	414	0.5485	0.5675	0.5485	0.7406
No log	4.0784	416	0.5611	0.5623	0.5611	0.7490
No log	4.0980	418	0.5286	0.5926	0.5286	0.7271
No log	4.1176	420	0.4814	0.6253	0.4814	0.6938
No log	4.1373	422	0.4475	0.6719	0.4475	0.6690
No log	4.1569	424	0.4315	0.6881	0.4315	0.6569
No log	4.1765	426	0.4047	0.6739	0.4047	0.6361
No log	4.1961	428	0.4295	0.6430	0.4295	0.6554
No log	4.2157	430	0.4651	0.6224	0.4651	0.6820
No log	4.2353	432	0.4235	0.6340	0.4235	0.6508
No log	4.2549	434	0.3942	0.6447	0.3942	0.6278
No log	4.2745	436	0.3982	0.6489	0.3982	0.6310
No log	4.2941	438	0.4764	0.5611	0.4764	0.6903
No log	4.3137	440	0.5092	0.5448	0.5092	0.7136
No log	4.3333	442	0.4436	0.5924	0.4436	0.6660
No log	4.3529	444	0.3878	0.6386	0.3878	0.6227
No log	4.3725	446	0.3776	0.6462	0.3776	0.6145
No log	4.3922	448	0.4046	0.6441	0.4046	0.6361
No log	4.4118	450	0.4609	0.6176	0.4609	0.6789
No log	4.4314	452	0.5155	0.6013	0.5155	0.7180
No log	4.4510	454	0.4932	0.6299	0.4932	0.7023
No log	4.4706	456	0.4804	0.6326	0.4804	0.6931
No log	4.4902	458	0.4366	0.6672	0.4366	0.6607
No log	4.5098	460	0.4140	0.6884	0.4140	0.6434
No log	4.5294	462	0.4564	0.6646	0.4564	0.6756
No log	4.5490	464	0.4848	0.6457	0.4848	0.6963
No log	4.5686	466	0.4989	0.6308	0.4989	0.7063
No log	4.5882	468	0.4408	0.6615	0.4408	0.6640
No log	4.6078	470	0.4229	0.6560	0.4229	0.6503
No log	4.6275	472	0.3739	0.6844	0.3739	0.6115
No log	4.6471	474	0.3633	0.6968	0.3633	0.6028
No log	4.6667	476	0.3928	0.6647	0.3928	0.6267
No log	4.6863	478	0.4538	0.6462	0.4538	0.6737
No log	4.7059	480	0.5378	0.5818	0.5378	0.7334
No log	4.7255	482	0.5477	0.5750	0.5477	0.7401
No log	4.7451	484	0.5435	0.5955	0.5435	0.7372
No log	4.7647	486	0.4984	0.6274	0.4984	0.7059
No log	4.7843	488	0.4782	0.6469	0.4782	0.6915
No log	4.8039	490	0.4183	0.6771	0.4183	0.6467
No log	4.8235	492	0.4049	0.7001	0.4049	0.6363
No log	4.8431	494	0.4742	0.6781	0.4742	0.6886
No log	4.8627	496	0.5400	0.6232	0.5400	0.7348
No log	4.8824	498	0.5069	0.6391	0.5069	0.7120
0.4786	4.9020	500	0.4636	0.6511	0.4636	0.6809
0.4786	4.9216	502	0.4543	0.6447	0.4543	0.6740
0.4786	4.9412	504	0.4543	0.6353	0.4543	0.6740
0.4786	4.9608	506	0.4914	0.5705	0.4914	0.7010
0.4786	4.9804	508	0.4954	0.5341	0.4954	0.7039
0.4786	5.0	510	0.4744	0.5496	0.4744	0.6887

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
Created: Jan 22, 2025
Updated: Jan 22, 2025