ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k14_task3_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: 0.4150
• Qwk: 0.5080
• Mse: 0.4150
• Rmse: 0.6442

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	0.0303	2	3.1424	-0.0149	3.1424	1.7727
No log	0.0606	4	1.4820	-0.0070	1.4820	1.2174
No log	0.0909	6	0.7528	0.0968	0.7528	0.8677
No log	0.1212	8	0.8960	0.0795	0.8960	0.9466
No log	0.1515	10	0.7639	0.1515	0.7639	0.8740
No log	0.1818	12	1.0009	0.1290	1.0009	1.0005
No log	0.2121	14	0.8914	0.1405	0.8914	0.9441
No log	0.2424	16	0.5897	-0.0303	0.5897	0.7679
No log	0.2727	18	0.5825	0.0569	0.5825	0.7632
No log	0.3030	20	0.5925	0.1628	0.5925	0.7697
No log	0.3333	22	0.6275	0.0	0.6275	0.7922
No log	0.3636	24	0.6732	0.2749	0.6732	0.8205
No log	0.3939	26	1.3584	0.0149	1.3584	1.1655
No log	0.4242	28	1.0178	0.0741	1.0178	1.0089
No log	0.4545	30	0.6183	0.0303	0.6183	0.7863
No log	0.4848	32	0.7042	0.0	0.7042	0.8392
No log	0.5152	34	0.6615	0.0	0.6615	0.8133
No log	0.5455	36	0.5621	0.0909	0.5621	0.7497
No log	0.5758	38	0.5717	0.3208	0.5717	0.7561
No log	0.6061	40	0.5946	0.3086	0.5946	0.7711
No log	0.6364	42	0.6664	0.2549	0.6664	0.8163
No log	0.6667	44	0.6007	0.3684	0.6007	0.7750
No log	0.6970	46	0.6072	0.2889	0.6072	0.7792
No log	0.7273	48	0.5274	0.2222	0.5274	0.7262
No log	0.7576	50	0.6391	0.0080	0.6391	0.7994
No log	0.7879	52	0.6965	0.0080	0.6965	0.8345
No log	0.8182	54	0.5963	0.0	0.5963	0.7722
No log	0.8485	56	0.6778	0.2593	0.6778	0.8233
No log	0.8788	58	1.7270	0.1079	1.7270	1.3142
No log	0.9091	60	1.6404	0.1008	1.6404	1.2808
No log	0.9394	62	0.7967	0.2637	0.7967	0.8926
No log	0.9697	64	0.5715	0.0222	0.5715	0.7560
No log	1.0	66	0.6315	-0.0081	0.6315	0.7947
No log	1.0303	68	0.6089	-0.0081	0.6089	0.7803
No log	1.0606	70	0.5615	0.1667	0.5615	0.7493
No log	1.0909	72	0.8052	0.1712	0.8052	0.8973
No log	1.1212	74	0.9312	0.1228	0.9312	0.9650
No log	1.1515	76	0.6259	0.1605	0.6259	0.7911
No log	1.1818	78	0.7654	0.0	0.7654	0.8749
No log	1.2121	80	0.8090	0.0720	0.8090	0.8994
No log	1.2424	82	0.7320	0.0	0.7320	0.8556
No log	1.2727	84	0.6187	0.0933	0.6187	0.7866
No log	1.3030	86	1.3191	0.0949	1.3191	1.1485
No log	1.3333	88	1.8456	0.0296	1.8456	1.3585
No log	1.3636	90	1.5487	0.0571	1.5487	1.2445
No log	1.3939	92	0.9051	0.1453	0.9051	0.9514
No log	1.4242	94	0.5746	0.2281	0.5746	0.7580
No log	1.4545	96	0.5262	0.3067	0.5262	0.7254
No log	1.4848	98	0.5549	0.3216	0.5549	0.7449
No log	1.5152	100	0.6312	0.2637	0.6312	0.7945
No log	1.5455	102	0.6396	0.2762	0.6396	0.7997
No log	1.5758	104	0.6022	0.2727	0.6022	0.7760
No log	1.6061	106	0.4764	0.3810	0.4764	0.6902
No log	1.6364	108	0.8192	0.2000	0.8192	0.9051
No log	1.6667	110	0.8383	0.2000	0.8383	0.9156
No log	1.6970	112	0.4851	0.5	0.4851	0.6965
No log	1.7273	114	0.5877	0.2917	0.5877	0.7666
No log	1.7576	116	0.5940	0.2917	0.5940	0.7707
No log	1.7879	118	0.4544	0.3939	0.4544	0.6741
No log	1.8182	120	0.5571	0.3725	0.5571	0.7464
No log	1.8485	122	0.4652	0.4475	0.4652	0.6821
No log	1.8788	124	0.4147	0.4491	0.4147	0.6440
No log	1.9091	126	0.4021	0.3735	0.4021	0.6341
No log	1.9394	128	0.4352	0.5394	0.4352	0.6597
No log	1.9697	130	0.4312	0.5394	0.4312	0.6566
No log	2.0	132	0.4084	0.4217	0.4084	0.6391
No log	2.0303	134	0.4257	0.4083	0.4257	0.6525
No log	2.0606	136	0.4759	0.4455	0.4759	0.6899
No log	2.0909	138	0.8220	0.3588	0.8220	0.9066
No log	2.1212	140	0.8180	0.3509	0.8180	0.9045
No log	2.1515	142	0.5419	0.3455	0.5419	0.7361
No log	2.1818	144	0.9115	0.3379	0.9115	0.9547
No log	2.2121	146	0.9827	0.3584	0.9827	0.9913
No log	2.2424	148	0.5927	0.4703	0.5927	0.7699
No log	2.2727	150	0.8281	0.3930	0.8281	0.9100
No log	2.3030	152	1.0269	0.2329	1.0269	1.0134
No log	2.3333	154	0.6503	0.4191	0.6503	0.8064
No log	2.3636	156	0.4927	0.3769	0.4927	0.7019
No log	2.3939	158	0.5692	0.3725	0.5692	0.7544
No log	2.4242	160	0.5183	0.3831	0.5183	0.7199
No log	2.4545	162	0.4512	0.4947	0.4512	0.6717
No log	2.4848	164	0.7058	0.4516	0.7058	0.8401
No log	2.5152	166	0.8783	0.3558	0.8783	0.9372
No log	2.5455	168	0.5463	0.4393	0.5463	0.7391
No log	2.5758	170	0.5845	0.3962	0.5845	0.7645
No log	2.6061	172	0.6020	0.4444	0.6020	0.7759
No log	2.6364	174	0.4757	0.4680	0.4757	0.6897
No log	2.6667	176	0.5285	0.4537	0.5285	0.7270
No log	2.6970	178	0.4449	0.4229	0.4449	0.6670
No log	2.7273	180	0.5914	0.4338	0.5914	0.7690
No log	2.7576	182	0.6707	0.4133	0.6707	0.8190
No log	2.7879	184	0.4766	0.4227	0.4766	0.6904
No log	2.8182	186	0.4580	0.4348	0.4580	0.6768
No log	2.8485	188	0.7857	0.2868	0.7857	0.8864
No log	2.8788	190	0.8160	0.2868	0.8160	0.9033
No log	2.9091	192	0.4847	0.4764	0.4847	0.6962
No log	2.9394	194	0.4267	0.4413	0.4267	0.6532
No log	2.9697	196	0.4248	0.5294	0.4248	0.6518
No log	3.0	198	0.5080	0.4563	0.5080	0.7128
No log	3.0303	200	0.4614	0.5307	0.4614	0.6793
No log	3.0606	202	0.4482	0.6044	0.4482	0.6695
No log	3.0909	204	0.4572	0.5936	0.4572	0.6761
No log	3.1212	206	0.4193	0.4545	0.4193	0.6475
No log	3.1515	208	0.4829	0.4	0.4829	0.6949
No log	3.1818	210	0.4647	0.4894	0.4647	0.6817
No log	3.2121	212	0.5589	0.4286	0.5589	0.7476
No log	3.2424	214	0.7777	0.2977	0.7777	0.8819
No log	3.2727	216	0.7777	0.2977	0.7777	0.8819
No log	3.3030	218	0.6573	0.3195	0.6573	0.8107
No log	3.3333	220	0.5567	0.4783	0.5567	0.7461
No log	3.3636	222	0.5318	0.4783	0.5318	0.7293
No log	3.3939	224	0.5286	0.4171	0.5286	0.7270
No log	3.4242	226	0.5858	0.4051	0.5858	0.7653
No log	3.4545	228	0.5091	0.4764	0.5091	0.7135
No log	3.4848	230	0.4880	0.4764	0.4880	0.6986
No log	3.5152	232	0.5354	0.4286	0.5354	0.7317
No log	3.5455	234	0.5068	0.4839	0.5068	0.7119
No log	3.5758	236	0.4724	0.3735	0.4724	0.6873
No log	3.6061	238	0.5081	0.3043	0.5081	0.7128
No log	3.6364	240	0.4677	0.5111	0.4677	0.6839
No log	3.6667	242	0.5865	0.3778	0.5865	0.7658
No log	3.6970	244	0.7940	0.2320	0.7940	0.8911
No log	3.7273	246	0.6902	0.2846	0.6902	0.8308
No log	3.7576	248	0.6078	0.3418	0.6078	0.7796
No log	3.7879	250	0.5009	0.4346	0.5009	0.7077
No log	3.8182	252	0.5090	0.4286	0.5090	0.7134
No log	3.8485	254	0.5461	0.4233	0.5461	0.7390
No log	3.8788	256	0.5898	0.3214	0.5898	0.7680
No log	3.9091	258	0.5529	0.4396	0.5529	0.7436
No log	3.9394	260	0.4789	0.4709	0.4789	0.6920
No log	3.9697	262	0.4859	0.4709	0.4859	0.6971
No log	4.0	264	0.4888	0.5217	0.4888	0.6991
No log	4.0303	266	0.5869	0.3860	0.5869	0.7661
No log	4.0606	268	0.6037	0.3818	0.6037	0.7770
No log	4.0909	270	0.5270	0.4902	0.5270	0.7259
No log	4.1212	272	0.5387	0.4444	0.5387	0.7340
No log	4.1515	274	0.5110	0.4573	0.5110	0.7148
No log	4.1818	276	0.5763	0.2963	0.5763	0.7592
No log	4.2121	278	0.5398	0.3725	0.5398	0.7347
No log	4.2424	280	0.5016	0.4051	0.5016	0.7083
No log	4.2727	282	0.4751	0.4105	0.4751	0.6893
No log	4.3030	284	0.4417	0.5088	0.4417	0.6646
No log	4.3333	286	0.4941	0.3797	0.4941	0.7029
No log	4.3636	288	0.5386	0.3769	0.5386	0.7339
No log	4.3939	290	0.5158	0.4286	0.5158	0.7182
No log	4.4242	292	0.5264	0.4227	0.5264	0.7255
No log	4.4545	294	0.4902	0.5074	0.4902	0.7001
No log	4.4848	296	0.4514	0.4043	0.4514	0.6719
No log	4.5152	298	0.5025	0.3575	0.5025	0.7089
No log	4.5455	300	0.4391	0.4526	0.4391	0.6626
No log	4.5758	302	0.5729	0.4435	0.5729	0.7569
No log	4.6061	304	0.7295	0.2903	0.7295	0.8541
No log	4.6364	306	0.6199	0.3755	0.6199	0.7874
No log	4.6667	308	0.4475	0.5960	0.4475	0.6690
No log	4.6970	310	0.4690	0.3371	0.4690	0.6848
No log	4.7273	312	0.5478	0.3769	0.5478	0.7401
No log	4.7576	314	0.4824	0.3591	0.4824	0.6946
No log	4.7879	316	0.4386	0.4682	0.4386	0.6622
No log	4.8182	318	0.5831	0.3648	0.5831	0.7636
No log	4.8485	320	0.8823	0.2296	0.8823	0.9393
No log	4.8788	322	0.8911	0.2000	0.8911	0.9440
No log	4.9091	324	0.6767	0.3496	0.6767	0.8226
No log	4.9394	326	0.4477	0.5512	0.4477	0.6691
No log	4.9697	328	0.4171	0.4483	0.4171	0.6458
No log	5.0	330	0.4150	0.5602	0.4150	0.6442
No log	5.0303	332	0.5054	0.4444	0.5054	0.7109
No log	5.0606	334	0.6633	0.3651	0.6633	0.8145
No log	5.0909	336	0.5968	0.3833	0.5968	0.7725
No log	5.1212	338	0.4639	0.5102	0.4639	0.6811
No log	5.1515	340	0.4299	0.4860	0.4299	0.6557
No log	5.1818	342	0.4234	0.5088	0.4234	0.6507
No log	5.2121	344	0.4235	0.4699	0.4235	0.6507
No log	5.2424	346	0.4247	0.4356	0.4247	0.6517
No log	5.2727	348	0.4137	0.3846	0.4137	0.6432
No log	5.3030	350	0.4078	0.3208	0.4078	0.6386
No log	5.3333	352	0.4223	0.3846	0.4223	0.6498
No log	5.3636	354	0.5185	0.4583	0.5185	0.7201
No log	5.3939	356	0.7470	0.264	0.7470	0.8643
No log	5.4242	358	0.8138	0.2314	0.8138	0.9021
No log	5.4545	360	0.6173	0.2877	0.6173	0.7857
No log	5.4848	362	0.4439	0.3882	0.4439	0.6663
No log	5.5152	364	0.6534	0.3433	0.6534	0.8083
No log	5.5455	366	0.8108	0.2762	0.8108	0.9004
No log	5.5758	368	0.7357	0.2850	0.7357	0.8577
No log	5.6061	370	0.5203	0.3263	0.5203	0.7213
No log	5.6364	372	0.4777	0.4973	0.4777	0.6912
No log	5.6667	374	0.7379	0.2275	0.7379	0.8590
No log	5.6970	376	0.8249	0.2333	0.8249	0.9083
No log	5.7273	378	0.6780	0.1928	0.6780	0.8234
No log	5.7576	380	0.4703	0.4607	0.4703	0.6858
No log	5.7879	382	0.4879	0.4091	0.4879	0.6985
No log	5.8182	384	0.7091	0.2762	0.7091	0.8421
No log	5.8485	386	0.7847	0.2877	0.7847	0.8858
No log	5.8788	388	0.6724	0.3237	0.6724	0.8200
No log	5.9091	390	0.4903	0.3520	0.4903	0.7002
No log	5.9394	392	0.4460	0.4699	0.4460	0.6678
No log	5.9697	394	0.5669	0.3131	0.5669	0.7529
No log	6.0	396	0.5811	0.2692	0.5811	0.7623
No log	6.0303	398	0.4979	0.4105	0.4979	0.7056
No log	6.0606	400	0.4395	0.3865	0.4395	0.6630
No log	6.0909	402	0.5393	0.2688	0.5393	0.7344
No log	6.1212	404	0.6367	0.2637	0.6367	0.7980
No log	6.1515	406	0.5965	0.2593	0.5965	0.7723
No log	6.1818	408	0.4837	0.4491	0.4837	0.6955
No log	6.2121	410	0.4447	0.5062	0.4447	0.6668
No log	6.2424	412	0.4719	0.4157	0.4719	0.6869
No log	6.2727	414	0.4618	0.5	0.4618	0.6796
No log	6.3030	416	0.4388	0.4211	0.4388	0.6624
No log	6.3333	418	0.4637	0.4491	0.4637	0.6809
No log	6.3636	420	0.4770	0.4220	0.4770	0.6907
No log	6.3939	422	0.4424	0.4634	0.4424	0.6651
No log	6.4242	424	0.4492	0.4947	0.4492	0.6702
No log	6.4545	426	0.5046	0.4343	0.5046	0.7103
No log	6.4848	428	0.5252	0.4178	0.5252	0.7247
No log	6.5152	430	0.4664	0.4783	0.4664	0.6829
No log	6.5455	432	0.4292	0.6364	0.4292	0.6551
No log	6.5758	434	0.4977	0.3089	0.4977	0.7055
No log	6.6061	436	0.5273	0.2990	0.5273	0.7262
No log	6.6364	438	0.4799	0.3297	0.4799	0.6928
No log	6.6667	440	0.4272	0.4430	0.4272	0.6536
No log	6.6970	442	0.4421	0.5	0.4421	0.6649
No log	6.7273	444	0.4708	0.4157	0.4708	0.6862
No log	6.7576	446	0.4505	0.5	0.4505	0.6712
No log	6.7879	448	0.4449	0.5	0.4449	0.6670
No log	6.8182	450	0.4411	0.4970	0.4411	0.6642
No log	6.8485	452	0.4439	0.4824	0.4439	0.6663
No log	6.8788	454	0.4468	0.4634	0.4468	0.6684
No log	6.9091	456	0.4571	0.4620	0.4571	0.6761
No log	6.9394	458	0.4686	0.4620	0.4686	0.6846
No log	6.9697	460	0.4527	0.4699	0.4527	0.6728
No log	7.0	462	0.4452	0.4717	0.4452	0.6673
No log	7.0303	464	0.4425	0.4286	0.4425	0.6652
No log	7.0606	466	0.4385	0.4286	0.4385	0.6622
No log	7.0909	468	0.4462	0.5307	0.4462	0.6680
No log	7.1212	470	0.4901	0.4225	0.4901	0.7001
No log	7.1515	472	0.4845	0.4225	0.4845	0.6961
No log	7.1818	474	0.4526	0.4682	0.4526	0.6727
No log	7.2121	476	0.4296	0.4556	0.4296	0.6554
No log	7.2424	478	0.4324	0.5307	0.4324	0.6576
No log	7.2727	480	0.4470	0.4783	0.4470	0.6686
No log	7.3030	482	0.4462	0.4783	0.4462	0.6680
No log	7.3333	484	0.4398	0.5307	0.4398	0.6632
No log	7.3636	486	0.4676	0.3990	0.4676	0.6838
No log	7.3939	488	0.4899	0.4615	0.4899	0.6999
No log	7.4242	490	0.4847	0.4680	0.4847	0.6962
No log	7.4545	492	0.4430	0.4409	0.4430	0.6656
No log	7.4848	494	0.4217	0.4943	0.4217	0.6494
No log	7.5152	496	0.4162	0.4943	0.4162	0.6451
No log	7.5455	498	0.4184	0.4943	0.4184	0.6468
0.4143	7.5758	500	0.4334	0.5359	0.4334	0.6583
0.4143	7.6061	502	0.4546	0.4468	0.4546	0.6743
0.4143	7.6364	504	0.4604	0.4652	0.4604	0.6786
0.4143	7.6667	506	0.4365	0.4682	0.4365	0.6607
0.4143	7.6970	508	0.4073	0.4214	0.4073	0.6382
0.4143	7.7273	510	0.4004	0.3826	0.4004	0.6328
0.4143	7.7576	512	0.3986	0.4286	0.3986	0.6314
0.4143	7.7879	514	0.3955	0.4286	0.3955	0.6289
0.4143	7.8182	516	0.3953	0.4286	0.3953	0.6288
0.4143	7.8485	518	0.3959	0.4634	0.3959	0.6292
0.4143	7.8788	520	0.4011	0.4943	0.4011	0.6334
0.4143	7.9091	522	0.4222	0.5183	0.4222	0.6498
0.4143	7.9394	524	0.4434	0.4819	0.4434	0.6659
0.4143	7.9697	526	0.4280	0.5464	0.4280	0.6542
0.4143	8.0	528	0.4061	0.5652	0.4061	0.6372
0.4143	8.0303	530	0.3919	0.5254	0.3919	0.6260
0.4143	8.0606	532	0.3927	0.5238	0.3927	0.6267
0.4143	8.0909	534	0.3916	0.5238	0.3916	0.6258
0.4143	8.1212	536	0.3913	0.4824	0.3913	0.6256
0.4143	8.1515	538	0.3954	0.5604	0.3954	0.6288
0.4143	8.1818	540	0.4155	0.5132	0.4155	0.6446
0.4143	8.2121	542	0.4196	0.5052	0.4196	0.6477
0.4143	8.2424	544	0.4152	0.5330	0.4152	0.6444
0.4143	8.2727	546	0.4081	0.5417	0.4081	0.6388
0.4143	8.3030	548	0.4008	0.5254	0.4008	0.6331
0.4143	8.3333	550	0.3981	0.4491	0.3981	0.6310
0.4143	8.3636	552	0.4040	0.4	0.4040	0.6356
0.4143	8.3939	554	0.4079	0.4	0.4079	0.6387
0.4143	8.4242	556	0.4046	0.4	0.4046	0.6361
0.4143	8.4545	558	0.4015	0.4491	0.4015	0.6337
0.4143	8.4848	560	0.4125	0.4884	0.4125	0.6422
0.4143	8.5152	562	0.4340	0.5183	0.4340	0.6588
0.4143	8.5455	564	0.4499	0.4947	0.4499	0.6707
0.4143	8.5758	566	0.4390	0.5510	0.4390	0.6626
0.4143	8.6061	568	0.4273	0.5417	0.4273	0.6537
0.4143	8.6364	570	0.4207	0.5080	0.4207	0.6486
0.4143	8.6667	572	0.4238	0.5417	0.4238	0.6510
0.4143	8.6970	574	0.4279	0.5644	0.4279	0.6541
0.4143	8.7273	576	0.4348	0.5644	0.4348	0.6594
0.4143	8.7576	578	0.4407	0.5644	0.4407	0.6639
0.4143	8.7879	580	0.4479	0.5556	0.4479	0.6693
0.4143	8.8182	582	0.4354	0.5644	0.4354	0.6598
0.4143	8.8485	584	0.4282	0.5417	0.4282	0.6544
0.4143	8.8788	586	0.4193	0.5080	0.4193	0.6476
0.4143	8.9091	588	0.4083	0.4884	0.4083	0.6390
0.4143	8.9394	590	0.4037	0.4491	0.4037	0.6354
0.4143	8.9697	592	0.4037	0.4491	0.4037	0.6354
0.4143	9.0	594	0.4038	0.4491	0.4038	0.6354
0.4143	9.0303	596	0.4038	0.4491	0.4038	0.6355
0.4143	9.0606	598	0.4039	0.4491	0.4039	0.6355
0.4143	9.0909	600	0.4042	0.4491	0.4042	0.6358
0.4143	9.1212	602	0.4049	0.4884	0.4049	0.6363
0.4143	9.1515	604	0.4041	0.4491	0.4041	0.6357
0.4143	9.1818	606	0.4040	0.4491	0.4040	0.6356
0.4143	9.2121	608	0.4051	0.4491	0.4051	0.6365
0.4143	9.2424	610	0.4073	0.4491	0.4073	0.6382
0.4143	9.2727	612	0.4104	0.4884	0.4104	0.6407
0.4143	9.3030	614	0.4116	0.4884	0.4116	0.6415
0.4143	9.3333	616	0.4144	0.4725	0.4144	0.6437
0.4143	9.3636	618	0.4154	0.5080	0.4154	0.6446
0.4143	9.3939	620	0.4157	0.5080	0.4157	0.6448
0.4143	9.4242	622	0.4190	0.5080	0.4190	0.6473
0.4143	9.4545	624	0.4264	0.5080	0.4264	0.6530
0.4143	9.4848	626	0.4310	0.5	0.4310	0.6565
0.4143	9.5152	628	0.4358	0.5	0.4358	0.6601
0.4143	9.5455	630	0.4397	0.5330	0.4397	0.6631
0.4143	9.5758	632	0.4443	0.5556	0.4443	0.6665
0.4143	9.6061	634	0.4483	0.5294	0.4483	0.6695
0.4143	9.6364	636	0.4456	0.5294	0.4456	0.6676
0.4143	9.6667	638	0.4400	0.5556	0.4400	0.6633
0.4143	9.6970	640	0.4324	0.5	0.4324	0.6576
0.4143	9.7273	642	0.4257	0.5	0.4257	0.6525
0.4143	9.7576	644	0.4227	0.5080	0.4227	0.6502
0.4143	9.7879	646	0.4199	0.5080	0.4199	0.6480
0.4143	9.8182	648	0.4187	0.5080	0.4187	0.6471
0.4143	9.8485	650	0.4180	0.5080	0.4180	0.6465
0.4143	9.8788	652	0.4166	0.5080	0.4166	0.6455
0.4143	9.9091	654	0.4161	0.5080	0.4161	0.6450
0.4143	9.9394	656	0.4154	0.5080	0.4154	0.6445
0.4143	9.9697	658	0.4151	0.5080	0.4151	0.6443
0.4143	10.0	660	0.4150	0.5080	0.4150	0.6442

Framework versions

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