ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k13_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: 0.7262
• Qwk: 0.5452
• Mse: 0.7262
• Rmse: 0.8522

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	0.0308	2	4.2445	-0.0116	4.2445	2.0602
No log	0.0615	4	2.3194	0.0124	2.3194	1.5229
No log	0.0923	6	1.6591	-0.0741	1.6591	1.2881
No log	0.1231	8	2.7659	-0.0829	2.7659	1.6631
No log	0.1538	10	2.6647	-0.0710	2.6647	1.6324
No log	0.1846	12	1.6360	0.0390	1.6360	1.2791
No log	0.2154	14	0.9587	0.0135	0.9587	0.9791
No log	0.2462	16	0.8930	0.0111	0.8930	0.9450
No log	0.2769	18	0.9721	0.0254	0.9721	0.9860
No log	0.3077	20	1.1407	0.0296	1.1407	1.0681
No log	0.3385	22	1.0028	0.0296	1.0028	1.0014
No log	0.3692	24	0.8523	0.1799	0.8523	0.9232
No log	0.4	26	0.7660	0.2454	0.7660	0.8752
No log	0.4308	28	1.0811	0.0638	1.0811	1.0398
No log	0.4615	30	1.1175	0.0850	1.1175	1.0571
No log	0.4923	32	0.7924	0.1744	0.7924	0.8902
No log	0.5231	34	0.6644	0.1676	0.6644	0.8151
No log	0.5538	36	0.6721	0.1762	0.6721	0.8198
No log	0.5846	38	0.6823	0.2333	0.6823	0.8260
No log	0.6154	40	0.7294	0.2574	0.7294	0.8540
No log	0.6462	42	0.9956	0.1175	0.9956	0.9978
No log	0.6769	44	1.2987	0.1160	1.2987	1.1396
No log	0.7077	46	1.4327	0.1380	1.4327	1.1970
No log	0.7385	48	1.2815	0.1066	1.2815	1.1321
No log	0.7692	50	1.1553	0.1611	1.1553	1.0749
No log	0.8	52	0.8795	0.2213	0.8795	0.9378
No log	0.8308	54	0.7230	0.2637	0.7230	0.8503
No log	0.8615	56	0.6551	0.3589	0.6551	0.8094
No log	0.8923	58	0.6569	0.3589	0.6569	0.8105
No log	0.9231	60	0.6342	0.3869	0.6342	0.7964
No log	0.9538	62	0.6955	0.3104	0.6955	0.8340
No log	0.9846	64	0.8398	0.3006	0.8398	0.9164
No log	1.0154	66	0.7770	0.2959	0.7770	0.8815
No log	1.0462	68	0.6793	0.3459	0.6793	0.8242
No log	1.0769	70	0.5801	0.4005	0.5801	0.7617
No log	1.1077	72	0.5611	0.5020	0.5611	0.7491
No log	1.1385	74	0.5801	0.4865	0.5801	0.7617
No log	1.1692	76	0.7314	0.4598	0.7314	0.8552
No log	1.2	78	0.8247	0.4586	0.8247	0.9081
No log	1.2308	80	0.9190	0.4061	0.9190	0.9586
No log	1.2615	82	0.8583	0.4161	0.8583	0.9264
No log	1.2923	84	0.8596	0.4413	0.8596	0.9272
No log	1.3231	86	0.9115	0.4427	0.9115	0.9547
No log	1.3538	88	0.9057	0.4795	0.9057	0.9517
No log	1.3846	90	0.9543	0.4499	0.9543	0.9769
No log	1.4154	92	0.8947	0.4348	0.8947	0.9459
No log	1.4462	94	0.8657	0.4497	0.8657	0.9304
No log	1.4769	96	0.8345	0.4246	0.8345	0.9135
No log	1.5077	98	0.7740	0.5022	0.7740	0.8798
No log	1.5385	100	0.8449	0.4605	0.8449	0.9192
No log	1.5692	102	0.8876	0.4618	0.8876	0.9421
No log	1.6	104	0.7376	0.5305	0.7376	0.8588
No log	1.6308	106	0.6093	0.5885	0.6093	0.7806
No log	1.6615	108	0.6736	0.3431	0.6736	0.8207
No log	1.6923	110	0.7134	0.3373	0.7134	0.8446
No log	1.7231	112	0.6343	0.4159	0.6343	0.7964
No log	1.7538	114	0.6130	0.5699	0.6130	0.7829
No log	1.7846	116	0.6902	0.4986	0.6902	0.8308
No log	1.8154	118	0.8173	0.4822	0.8173	0.9041
No log	1.8462	120	0.7970	0.4930	0.7970	0.8927
No log	1.8769	122	0.7297	0.5528	0.7297	0.8542
No log	1.9077	124	0.7469	0.5080	0.7469	0.8643
No log	1.9385	126	0.8041	0.5058	0.8041	0.8967
No log	1.9692	128	0.8969	0.4434	0.8969	0.9471
No log	2.0	130	1.0936	0.3288	1.0936	1.0458
No log	2.0308	132	1.0030	0.3481	1.0030	1.0015
No log	2.0615	134	0.7259	0.5606	0.7259	0.8520
No log	2.0923	136	0.6653	0.4337	0.6653	0.8157
No log	2.1231	138	0.6969	0.4676	0.6969	0.8348
No log	2.1538	140	0.6586	0.4421	0.6586	0.8116
No log	2.1846	142	0.6582	0.4762	0.6582	0.8113
No log	2.2154	144	0.6568	0.4296	0.6568	0.8104
No log	2.2462	146	0.6875	0.4046	0.6875	0.8292
No log	2.2769	148	0.6795	0.4210	0.6795	0.8243
No log	2.3077	150	0.6788	0.4149	0.6788	0.8239
No log	2.3385	152	0.7169	0.4584	0.7169	0.8467
No log	2.3692	154	0.7946	0.4831	0.7946	0.8914
No log	2.4	156	0.8177	0.4315	0.8177	0.9043
No log	2.4308	158	0.8376	0.4784	0.8376	0.9152
No log	2.4615	160	0.9219	0.4417	0.9219	0.9601
No log	2.4923	162	0.8845	0.4720	0.8845	0.9405
No log	2.5231	164	0.8182	0.4731	0.8182	0.9045
No log	2.5538	166	0.7722	0.4695	0.7722	0.8787
No log	2.5846	168	0.7483	0.4958	0.7483	0.8650
No log	2.6154	170	0.6886	0.5039	0.6886	0.8298
No log	2.6462	172	0.6454	0.5342	0.6454	0.8033
No log	2.6769	174	0.6472	0.5489	0.6472	0.8045
No log	2.7077	176	0.6209	0.5423	0.6209	0.7880
No log	2.7385	178	0.6108	0.4843	0.6108	0.7815
No log	2.7692	180	0.6635	0.4846	0.6635	0.8146
No log	2.8	182	0.6819	0.4850	0.6819	0.8258
No log	2.8308	184	0.6548	0.4757	0.6548	0.8092
No log	2.8615	186	0.6329	0.5394	0.6329	0.7956
No log	2.8923	188	0.6659	0.5938	0.6659	0.8160
No log	2.9231	190	0.7168	0.5727	0.7168	0.8466
No log	2.9538	192	0.7272	0.5597	0.7272	0.8528
No log	2.9846	194	0.7373	0.5311	0.7373	0.8587
No log	3.0154	196	0.7661	0.5224	0.7661	0.8753
No log	3.0462	198	0.7838	0.5113	0.7838	0.8853
No log	3.0769	200	0.8193	0.5309	0.8193	0.9052
No log	3.1077	202	0.8561	0.5208	0.8561	0.9252
No log	3.1385	204	0.8330	0.5316	0.8330	0.9127
No log	3.1692	206	0.8345	0.5688	0.8345	0.9135
No log	3.2	208	0.8459	0.5311	0.8459	0.9197
No log	3.2308	210	0.8544	0.5701	0.8544	0.9244
No log	3.2615	212	0.8809	0.4947	0.8809	0.9385
No log	3.2923	214	0.8643	0.5312	0.8643	0.9297
No log	3.3231	216	0.8203	0.5568	0.8203	0.9057
No log	3.3538	218	0.7790	0.5108	0.7790	0.8826
No log	3.3846	220	0.7623	0.4381	0.7623	0.8731
No log	3.4154	222	0.7308	0.4420	0.7308	0.8549
No log	3.4462	224	0.7179	0.4902	0.7179	0.8473
No log	3.4769	226	0.7107	0.5036	0.7107	0.8431
No log	3.5077	228	0.7882	0.4896	0.7882	0.8878
No log	3.5385	230	1.0064	0.3496	1.0064	1.0032
No log	3.5692	232	1.0477	0.3448	1.0477	1.0236
No log	3.6	234	0.9274	0.4390	0.9274	0.9630
No log	3.6308	236	0.7787	0.4789	0.7787	0.8824
No log	3.6615	238	0.7002	0.5293	0.7002	0.8368
No log	3.6923	240	0.6983	0.5198	0.6983	0.8357
No log	3.7231	242	0.7117	0.5198	0.7117	0.8436
No log	3.7538	244	0.7192	0.5254	0.7192	0.8481
No log	3.7846	246	0.7552	0.5289	0.7552	0.8690
No log	3.8154	248	0.7670	0.5208	0.7670	0.8758
No log	3.8462	250	0.7901	0.4997	0.7901	0.8889
No log	3.8769	252	0.8040	0.4907	0.8040	0.8967
No log	3.9077	254	0.8174	0.4985	0.8174	0.9041
No log	3.9385	256	0.8603	0.5343	0.8603	0.9275
No log	3.9692	258	0.8392	0.5343	0.8392	0.9161
No log	4.0	260	0.7584	0.5191	0.7584	0.8709
No log	4.0308	262	0.7143	0.4965	0.7143	0.8451
No log	4.0615	264	0.7055	0.4937	0.7055	0.8399
No log	4.0923	266	0.6893	0.5507	0.6893	0.8302
No log	4.1231	268	0.7025	0.5450	0.7025	0.8382
No log	4.1538	270	0.6998	0.5631	0.6998	0.8365
No log	4.1846	272	0.6979	0.5163	0.6979	0.8354
No log	4.2154	274	0.6809	0.5310	0.6809	0.8252
No log	4.2462	276	0.6647	0.5527	0.6647	0.8153
No log	4.2769	278	0.6644	0.5526	0.6644	0.8151
No log	4.3077	280	0.6525	0.5283	0.6525	0.8077
No log	4.3385	282	0.6649	0.5329	0.6649	0.8154
No log	4.3692	284	0.6639	0.5214	0.6639	0.8148
No log	4.4	286	0.6626	0.5463	0.6626	0.8140
No log	4.4308	288	0.6656	0.5597	0.6656	0.8158
No log	4.4615	290	0.7063	0.5660	0.7063	0.8404
No log	4.4923	292	0.7011	0.5514	0.7011	0.8373
No log	4.5231	294	0.6953	0.5541	0.6953	0.8338
No log	4.5538	296	0.7059	0.5449	0.7059	0.8402
No log	4.5846	298	0.7282	0.5279	0.7282	0.8533
No log	4.6154	300	0.7318	0.5114	0.7318	0.8555
No log	4.6462	302	0.7401	0.4955	0.7401	0.8603
No log	4.6769	304	0.7043	0.5243	0.7043	0.8392
No log	4.7077	306	0.6558	0.5342	0.6558	0.8098
No log	4.7385	308	0.6399	0.5085	0.6399	0.7999
No log	4.7692	310	0.6640	0.5554	0.6640	0.8149
No log	4.8	312	0.7008	0.5569	0.7008	0.8371
No log	4.8308	314	0.7280	0.5289	0.7280	0.8532
No log	4.8615	316	0.7245	0.4850	0.7245	0.8512
No log	4.8923	318	0.7422	0.5092	0.7422	0.8615
No log	4.9231	320	0.7549	0.5344	0.7549	0.8689
No log	4.9538	322	0.7420	0.5137	0.7420	0.8614
No log	4.9846	324	0.7339	0.5083	0.7339	0.8567
No log	5.0154	326	0.7156	0.5481	0.7156	0.8459
No log	5.0462	328	0.7019	0.5203	0.7019	0.8378
No log	5.0769	330	0.7081	0.5211	0.7081	0.8415
No log	5.1077	332	0.7374	0.5424	0.7374	0.8587
No log	5.1385	334	0.7393	0.5453	0.7393	0.8598
No log	5.1692	336	0.7304	0.5547	0.7304	0.8546
No log	5.2	338	0.7214	0.5521	0.7214	0.8494
No log	5.2308	340	0.7066	0.5535	0.7066	0.8406
No log	5.2615	342	0.7037	0.5151	0.7037	0.8389
No log	5.2923	344	0.7085	0.5483	0.7085	0.8417
No log	5.3231	346	0.7152	0.5482	0.7152	0.8457
No log	5.3538	348	0.7311	0.5469	0.7311	0.8551
No log	5.3846	350	0.7332	0.5482	0.7332	0.8563
No log	5.4154	352	0.7220	0.5373	0.7220	0.8497
No log	5.4462	354	0.6968	0.5170	0.6968	0.8348
No log	5.4769	356	0.6793	0.5044	0.6793	0.8242
No log	5.5077	358	0.6800	0.5182	0.6800	0.8246
No log	5.5385	360	0.6879	0.5293	0.6879	0.8294
No log	5.5692	362	0.6900	0.5293	0.6900	0.8306
No log	5.6	364	0.7101	0.5437	0.7101	0.8426
No log	5.6308	366	0.7092	0.5437	0.7092	0.8421
No log	5.6615	368	0.7014	0.5116	0.7014	0.8375
No log	5.6923	370	0.7249	0.5032	0.7249	0.8514
No log	5.7231	372	0.7387	0.5145	0.7387	0.8595
No log	5.7538	374	0.7399	0.5032	0.7399	0.8602
No log	5.7846	376	0.7361	0.5094	0.7361	0.8579
No log	5.8154	378	0.7067	0.4946	0.7067	0.8406
No log	5.8462	380	0.6825	0.5085	0.6825	0.8262
No log	5.8769	382	0.6606	0.5178	0.6606	0.8128
No log	5.9077	384	0.6806	0.5330	0.6806	0.8250
No log	5.9385	386	0.7048	0.5318	0.7048	0.8395
No log	5.9692	388	0.7015	0.5408	0.7015	0.8376
No log	6.0	390	0.6903	0.5321	0.6903	0.8309
No log	6.0308	392	0.6844	0.5364	0.6844	0.8273
No log	6.0615	394	0.6786	0.5364	0.6786	0.8238
No log	6.0923	396	0.6780	0.5364	0.6780	0.8234
No log	6.1231	398	0.6749	0.5364	0.6749	0.8215
No log	6.1538	400	0.6699	0.5173	0.6699	0.8185
No log	6.1846	402	0.6779	0.5198	0.6779	0.8233
No log	6.2154	404	0.6858	0.5397	0.6858	0.8281
No log	6.2462	406	0.6916	0.5052	0.6916	0.8316
No log	6.2769	408	0.6845	0.5052	0.6845	0.8273
No log	6.3077	410	0.6933	0.5019	0.6933	0.8327
No log	6.3385	412	0.7148	0.5011	0.7148	0.8455
No log	6.3692	414	0.7376	0.5088	0.7376	0.8589
No log	6.4	416	0.7624	0.5113	0.7624	0.8732
No log	6.4308	418	0.7695	0.5113	0.7695	0.8772
No log	6.4615	420	0.7660	0.5138	0.7660	0.8752
No log	6.4923	422	0.7643	0.5071	0.7643	0.8742
No log	6.5231	424	0.7622	0.5085	0.7622	0.8730
No log	6.5538	426	0.7587	0.4984	0.7587	0.8710
No log	6.5846	428	0.7678	0.5035	0.7678	0.8763
No log	6.6154	430	0.7630	0.5073	0.7630	0.8735
No log	6.6462	432	0.7383	0.4973	0.7383	0.8592
No log	6.6769	434	0.7111	0.5253	0.7111	0.8433
No log	6.7077	436	0.7056	0.5179	0.7056	0.8400
No log	6.7385	438	0.7056	0.4917	0.7056	0.8400
No log	6.7692	440	0.7118	0.4997	0.7118	0.8437
No log	6.8	442	0.7090	0.4997	0.7090	0.8420
No log	6.8308	444	0.7182	0.4989	0.7182	0.8475
No log	6.8615	446	0.7368	0.4949	0.7368	0.8584
No log	6.8923	448	0.7633	0.5291	0.7633	0.8737
No log	6.9231	450	0.7749	0.5443	0.7749	0.8803
No log	6.9538	452	0.7721	0.5393	0.7721	0.8787
No log	6.9846	454	0.7569	0.5393	0.7569	0.8700
No log	7.0154	456	0.7355	0.5132	0.7355	0.8576
No log	7.0462	458	0.7211	0.5019	0.7211	0.8492
No log	7.0769	460	0.7105	0.5180	0.7105	0.8429
No log	7.1077	462	0.7082	0.5301	0.7082	0.8416
No log	7.1385	464	0.7202	0.5420	0.7202	0.8487
No log	7.1692	466	0.7155	0.5643	0.7155	0.8459
No log	7.2	468	0.6913	0.5273	0.6913	0.8314
No log	7.2308	470	0.6666	0.5479	0.6666	0.8164
No log	7.2615	472	0.6649	0.5208	0.6649	0.8154
No log	7.2923	474	0.6767	0.5569	0.6767	0.8226
No log	7.3231	476	0.6840	0.5285	0.6840	0.8271
No log	7.3538	478	0.6917	0.5116	0.6917	0.8317
No log	7.3846	480	0.7084	0.5132	0.7084	0.8417
No log	7.4154	482	0.7178	0.5328	0.7178	0.8472
No log	7.4462	484	0.7303	0.5340	0.7303	0.8546
No log	7.4769	486	0.7537	0.5357	0.7537	0.8681
No log	7.5077	488	0.7692	0.5331	0.7692	0.8770
No log	7.5385	490	0.7651	0.5398	0.7651	0.8747
No log	7.5692	492	0.7349	0.5152	0.7349	0.8573
No log	7.6	494	0.7150	0.5239	0.7150	0.8456
No log	7.6308	496	0.7082	0.5036	0.7082	0.8415
No log	7.6615	498	0.7076	0.5036	0.7076	0.8412
0.4285	7.6923	500	0.7197	0.5139	0.7197	0.8484
0.4285	7.7231	502	0.7521	0.5507	0.7521	0.8672
0.4285	7.7538	504	0.7898	0.5758	0.7898	0.8887
0.4285	7.7846	506	0.8158	0.5354	0.8158	0.9032
0.4285	7.8154	508	0.8323	0.5354	0.8323	0.9123
0.4285	7.8462	510	0.8170	0.5194	0.8170	0.9039
0.4285	7.8769	512	0.7876	0.5444	0.7876	0.8875
0.4285	7.9077	514	0.7651	0.5172	0.7651	0.8747
0.4285	7.9385	516	0.7562	0.5148	0.7562	0.8696
0.4285	7.9692	518	0.7521	0.5043	0.7521	0.8672
0.4285	8.0	520	0.7500	0.5187	0.7500	0.8660
0.4285	8.0308	522	0.7490	0.5132	0.7490	0.8655
0.4285	8.0615	524	0.7441	0.5177	0.7441	0.8626
0.4285	8.0923	526	0.7353	0.4896	0.7353	0.8575
0.4285	8.1231	528	0.7231	0.5126	0.7231	0.8504
0.4285	8.1538	530	0.7148	0.5092	0.7148	0.8455
0.4285	8.1846	532	0.7128	0.5520	0.7128	0.8443
0.4285	8.2154	534	0.7117	0.5701	0.7117	0.8437
0.4285	8.2462	536	0.7081	0.5757	0.7081	0.8415
0.4285	8.2769	538	0.7041	0.5757	0.7041	0.8391
0.4285	8.3077	540	0.7035	0.5575	0.7035	0.8387
0.4285	8.3385	542	0.6992	0.5479	0.6992	0.8362
0.4285	8.3692	544	0.6970	0.5340	0.6970	0.8348
0.4285	8.4	546	0.7032	0.5343	0.7032	0.8386
0.4285	8.4308	548	0.7084	0.5117	0.7084	0.8417
0.4285	8.4615	550	0.7133	0.5170	0.7133	0.8446
0.4285	8.4923	552	0.7147	0.5254	0.7147	0.8454
0.4285	8.5231	554	0.7200	0.5281	0.7200	0.8485
0.4285	8.5538	556	0.7284	0.5523	0.7284	0.8534
0.4285	8.5846	558	0.7414	0.5455	0.7414	0.8611
0.4285	8.6154	560	0.7555	0.5443	0.7555	0.8692
0.4285	8.6462	562	0.7667	0.5430	0.7667	0.8756
0.4285	8.6769	564	0.7709	0.5320	0.7709	0.8780
0.4285	8.7077	566	0.7720	0.5511	0.7720	0.8786
0.4285	8.7385	568	0.7667	0.5486	0.7667	0.8756
0.4285	8.7692	570	0.7599	0.5435	0.7599	0.8717
0.4285	8.8	572	0.7523	0.5285	0.7523	0.8673
0.4285	8.8308	574	0.7444	0.5123	0.7444	0.8628
0.4285	8.8615	576	0.7361	0.5132	0.7361	0.8580
0.4285	8.8923	578	0.7332	0.5132	0.7332	0.8563
0.4285	8.9231	580	0.7296	0.5132	0.7296	0.8542
0.4285	8.9538	582	0.7284	0.5132	0.7284	0.8534
0.4285	8.9846	584	0.7304	0.5405	0.7304	0.8546
0.4285	9.0154	586	0.7360	0.5393	0.7360	0.8579
0.4285	9.0462	588	0.7441	0.5226	0.7441	0.8626
0.4285	9.0769	590	0.7511	0.5226	0.7511	0.8667
0.4285	9.1077	592	0.7577	0.5226	0.7577	0.8705
0.4285	9.1385	594	0.7602	0.5361	0.7602	0.8719
0.4285	9.1692	596	0.7590	0.5361	0.7590	0.8712
0.4285	9.2	598	0.7562	0.5142	0.7562	0.8696
0.4285	9.2308	600	0.7512	0.5166	0.7512	0.8667
0.4285	9.2615	602	0.7502	0.5166	0.7502	0.8661
0.4285	9.2923	604	0.7491	0.5275	0.7491	0.8655
0.4285	9.3231	606	0.7473	0.5309	0.7473	0.8645
0.4285	9.3538	608	0.7436	0.5376	0.7436	0.8623
0.4285	9.3846	610	0.7378	0.5376	0.7378	0.8590
0.4285	9.4154	612	0.7348	0.5376	0.7348	0.8572
0.4285	9.4462	614	0.7348	0.5429	0.7348	0.8572
0.4285	9.4769	616	0.7367	0.5226	0.7367	0.8583
0.4285	9.5077	618	0.7378	0.5344	0.7378	0.8590
0.4285	9.5385	620	0.7398	0.5344	0.7398	0.8601
0.4285	9.5692	622	0.7400	0.5398	0.7400	0.8603
0.4285	9.6	624	0.7399	0.5575	0.7399	0.8602
0.4285	9.6308	626	0.7405	0.5629	0.7405	0.8605
0.4285	9.6615	628	0.7412	0.5614	0.7412	0.8609
0.4285	9.6923	630	0.7396	0.5653	0.7396	0.8600
0.4285	9.7231	632	0.7372	0.5614	0.7372	0.8586
0.4285	9.7538	634	0.7348	0.5398	0.7348	0.8572
0.4285	9.7846	636	0.7326	0.5398	0.7326	0.8559
0.4285	9.8154	638	0.7300	0.5398	0.7300	0.8544
0.4285	9.8462	640	0.7279	0.5398	0.7279	0.8532
0.4285	9.8769	642	0.7265	0.5398	0.7265	0.8524
0.4285	9.9077	644	0.7257	0.5398	0.7257	0.8519
0.4285	9.9385	646	0.7258	0.5398	0.7258	0.8519
0.4285	9.9692	648	0.7261	0.5398	0.7261	0.8521
0.4285	10.0	650	0.7262	0.5452	0.7262	0.8522

Framework versions

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