🧠

Model

Pegasus Indian Legal

Name: Pegasus Indian Legal
Author: akhilm97

by akhilm97 hf-model--akhilm97--pegasus_indian_legal

Nexus Index

25.0 Top 100%

S: Semantic 50

A: Authority 0

P: Popularity 1

R: Recency 19

Q: Quality 45

Tech Context

Vital Performance

9 DL / 30D

0.0%

Source →

Audited 25 FNI Score

Tiny - Params

- Context

9 Downloads

Commercial MIT License

Model Information Summary
Entity Passport
Registry ID	hf-model--akhilm97--pegasus_indian_legal
License	MIT
Provider	huggingface

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{hf_model__akhilm97__pegasus_indian_legal,
  author = {akhilm97},
  title = {Pegasus Indian Legal Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/akhilm97/pegasus_indian_legal}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}

APA Style

akhilm97. (2026). Pegasus Indian Legal [Model]. Free2AITools. https://huggingface.co/akhilm97/pegasus_indian_legal

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download

huggingface-cli download akhilm97/pegasus_indian_legal

📦 Install Lib

pip install -U transformers

⚖️ Nexus Index V2.0

Methodology Index Protocol

25.0

TOP 100% SYSTEM IMPACT

Semantic (S) 50

Authority (A) 0

Popularity (P) 1

Recency (R) 19

Quality (Q) 45

💬 Index Insight

FNI V2.0 for Pegasus Indian Legal: Semantic (S:50), Authority (A:0), Popularity (P:1), Recency (R:19), Quality (Q:45).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit

Unbiased Data Node Refresh: VFS Live

---

🚀 What's Next?

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⚡

Deployment Guide

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Technical Deep Dive

pegasus_indian_legal

This model is a fine-tuned version of nsi319/legal-pegasus on ninadn/indian-legal. It achieves the following results on the evaluation set:

Loss: 3.8207

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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
8.1139	0.01	5	7.1952
7.7414	0.01	10	6.8118
6.6586	0.01	15	6.6204
6.1226	0.02	20	6.5303
6.7833	0.03	25	6.4668
5.9004	0.03	30	6.4014
7.1037	0.04	35	6.3302
6.4414	0.04	40	6.2744
7.0245	0.04	45	6.2331
7.4426	0.05	50	6.1970
7.4032	0.06	55	6.1663
6.2171	0.06	60	6.1440
8.762	0.07	65	6.1259
7.9691	0.07	70	6.0915
7.8924	0.07	75	6.0554
5.6221	0.08	80	6.0259
6.3625	0.09	85	5.9976
6.7371	0.09	90	5.9720
6.3414	0.1	95	5.9505
6.1663	0.1	100	5.9328
5.1981	0.1	105	5.9121
6.8607	0.11	110	5.8904
6.8116	0.12	115	5.8700
5.9565	0.12	120	5.8479
5.5946	0.12	125	5.8239
6.856	0.13	130	5.7999
6.2926	0.14	135	5.7736
6.7472	0.14	140	5.7444
6.5017	0.14	145	5.7151
7.1512	0.15	150	5.6817
6.7095	0.15	155	5.6471
6.2288	0.16	160	5.6049
5.65	0.17	165	5.5605
5.922	0.17	170	5.5073
5.7808	0.17	175	5.4596
5.4964	0.18	180	5.4131
5.8934	0.18	185	5.3834
6.6113	0.19	190	5.3575
6.2676	0.2	195	5.3370
5.9186	0.2	200	5.3093
6.6886	0.2	205	5.2713
5.1807	0.21	210	5.2369
6.1971	0.21	215	5.2052
5.766	0.22	220	5.1839
5.9246	0.23	225	5.1648
6.4893	0.23	230	5.1442
5.3428	0.23	235	5.1130
5.7767	0.24	240	5.0839
5.9352	0.24	245	5.0620
5.6338	0.25	250	5.0522
5.8564	0.26	255	5.0327
5.7787	0.26	260	5.0045
5.6463	0.27	265	4.9912
4.9419	0.27	270	4.9718
6.0014	0.28	275	4.9586
4.8812	0.28	280	4.9486
5.6219	0.28	285	4.9317
5.4921	0.29	290	4.9131
5.4535	0.29	295	4.8967
5.1836	0.3	300	4.8764
4.3432	0.3	305	4.8662
4.8323	0.31	310	4.8564
4.7862	0.32	315	4.8482
5.3593	0.32	320	4.8367
5.2734	0.33	325	4.8283
6.5221	0.33	330	4.8119
5.5495	0.34	335	4.7992
5.2248	0.34	340	4.7875
6.1969	0.34	345	4.7771
4.9022	0.35	350	4.7666
5.0548	0.35	355	4.7528
4.1457	0.36	360	4.7516
5.4985	0.36	365	4.7376
4.7874	0.37	370	4.7305
5.2283	0.38	375	4.7214
4.4285	0.38	380	4.7117
5.5889	0.39	385	4.6993
5.0003	0.39	390	4.6923
6.2434	0.4	395	4.6796
5.4728	0.4	400	4.6681
4.4054	0.41	405	4.6598
4.6877	0.41	410	4.6559
4.8273	0.41	415	4.6557
4.8691	0.42	420	4.6500
5.991	0.42	425	4.6416
5.4251	0.43	430	4.6384
4.9538	0.43	435	4.6269
5.0589	0.44	440	4.6172
5.4516	0.45	445	4.6078
4.5009	0.45	450	4.6025
5.1187	0.46	455	4.5974
5.6275	0.46	460	4.5826
5.4156	0.47	465	4.5821
5.2567	0.47	470	4.5745
5.2155	0.47	475	4.5683
5.0582	0.48	480	4.5585
4.8753	0.48	485	4.5480
5.0787	0.49	490	4.5415
4.9567	0.49	495	4.5393
4.5857	0.5	500	4.5349
4.8612	0.51	505	4.5285
4.8277	0.51	510	4.5240
5.5906	0.52	515	4.5260
4.9499	0.52	520	4.5173
5.2952	0.53	525	4.5060
3.8274	0.53	530	4.4994
4.467	0.54	535	4.4962
5.0859	0.54	540	4.4934
4.3718	0.55	545	4.4885
4.4206	0.55	550	4.4825
4.5786	0.56	555	4.4792
4.9051	0.56	560	4.4704
5.2053	0.56	565	4.4670
4.4463	0.57	570	4.4657
5.7765	0.57	575	4.4616
4.8999	0.58	580	4.4641
4.6483	0.58	585	4.4553
5.4009	0.59	590	4.4444
5.1194	0.59	595	4.4451
4.7166	0.6	600	4.4393
4.8541	0.6	605	4.4360
4.7013	0.61	610	4.4320
5.4653	0.61	615	4.4303
5.0875	0.62	620	4.4255
5.1023	0.62	625	4.4223
4.6522	0.63	630	4.4194
4.8696	0.64	635	4.4139
5.2916	0.64	640	4.4094
4.8809	0.65	645	4.3972
5.0182	0.65	650	4.3930
4.9865	0.66	655	4.3878
4.8155	0.66	660	4.3860
5.5128	0.67	665	4.3792
5.076	0.67	670	4.3760
4.5312	0.68	675	4.3725
5.0691	0.68	680	4.3696
4.4553	0.69	685	4.3657
5.0	0.69	690	4.3588
4.3969	0.69	695	4.3574
4.7947	0.7	700	4.3534
5.2797	0.7	705	4.3471
4.3235	0.71	710	4.3432
4.8813	0.71	715	4.3424
4.4267	0.72	720	4.3413
4.987	0.72	725	4.3404
5.2805	0.73	730	4.3393
5.1594	0.73	735	4.3417
5.1164	0.74	740	4.3337
5.4437	0.74	745	4.3319
5.2844	0.75	750	4.3359
4.4978	0.76	755	4.3310
5.2737	0.76	760	4.3214
5.3885	0.77	765	4.3177
5.0851	0.77	770	4.3134
4.2761	0.78	775	4.3131
4.824	0.78	780	4.3051
4.5129	0.79	785	4.2968
4.7519	0.79	790	4.2943
4.4831	0.8	795	4.2971
4.6433	0.8	800	4.2932
4.4866	0.81	805	4.2881
4.589	0.81	810	4.2862
4.2021	0.81	815	4.2836
4.8308	0.82	820	4.2816
4.8649	0.82	825	4.2806
4.9864	0.83	830	4.2788
4.2605	0.83	835	4.2721
4.4628	0.84	840	4.2669
4.682	0.84	845	4.2690
4.3174	0.85	850	4.2702
4.3081	0.85	855	4.2675
5.0759	0.86	860	4.2642
4.6884	0.86	865	4.2619
5.1781	0.87	870	4.2591
4.3708	0.88	875	4.2581
4.5789	0.88	880	4.2546
5.038	0.89	885	4.2526
5.3472	0.89	890	4.2571
5.0421	0.9	895	4.2505
4.4187	0.9	900	4.2472
5.1907	0.91	905	4.2506
4.4268	0.91	910	4.2513
5.0916	0.92	915	4.2449
4.8503	0.92	920	4.2410
4.2652	0.93	925	4.2357
4.812	0.93	930	4.2317
5.084	0.94	935	4.2310
5.7428	0.94	940	4.2257
5.3298	0.94	945	4.2259
4.0464	0.95	950	4.2259
5.0414	0.95	955	4.2212
5.1559	0.96	960	4.2186
4.7129	0.96	965	4.2227
4.4059	0.97	970	4.2243
4.4548	0.97	975	4.2169
4.6622	0.98	980	4.2075
5.1651	0.98	985	4.2058
4.6515	0.99	990	4.2071
4.9588	0.99	995	4.2071
4.7649	1.0	1000	4.2091
4.7989	1.0	1005	4.2076
4.7028	1.01	1010	4.2019
5.0315	1.01	1015	4.1994
4.0678	1.02	1020	4.1973
4.1186	1.02	1025	4.1941
4.448	1.03	1030	4.1908
4.7813	1.03	1035	4.1892
5.0336	1.04	1040	4.1872
4.7727	1.04	1045	4.1857
4.5824	1.05	1050	4.1863
3.9989	1.05	1055	4.1859
4.5373	1.06	1060	4.1833
4.8955	1.06	1065	4.1789
4.8222	1.07	1070	4.1780
4.6521	1.07	1075	4.1790
4.1452	1.08	1080	4.1775
4.7654	1.08	1085	4.1757
4.1216	1.09	1090	4.1762
4.5188	1.09	1095	4.1720
4.8948	1.1	1100	4.1717
5.3199	1.1	1105	4.1719
4.7887	1.11	1110	4.1727
4.7932	1.11	1115	4.1692
4.1068	1.12	1120	4.1658
4.7401	1.12	1125	4.1670
4.6968	1.13	1130	4.1661
4.4696	1.14	1135	4.1646
4.2353	1.14	1140	4.1612
4.2536	1.15	1145	4.1586
4.3728	1.15	1150	4.1582
4.9408	1.16	1155	4.1550
4.6785	1.16	1160	4.1516
4.3829	1.17	1165	4.1534
4.9909	1.17	1170	4.1584
4.1406	1.18	1175	4.1584
4.9504	1.18	1180	4.1542
4.7331	1.19	1185	4.1539
5.1361	1.19	1190	4.1543
5.0294	1.2	1195	4.1492
4.595	1.2	1200	4.1478
4.2045	1.21	1205	4.1483
4.2644	1.21	1210	4.1491
4.3578	1.22	1215	4.1458
5.0108	1.22	1220	4.1367
4.8417	1.23	1225	4.1332
4.7314	1.23	1230	4.1334
4.38	1.23	1235	4.1399
4.8438	1.24	1240	4.1350
4.4486	1.25	1245	4.1304
4.2011	1.25	1250	4.1297
5.0078	1.25	1255	4.1320
4.9064	1.26	1260	4.1347
4.8337	1.27	1265	4.1331
4.5072	1.27	1270	4.1288
5.1174	1.27	1275	4.1259
4.9408	1.28	1280	4.1269
4.3618	1.28	1285	4.1325
4.4125	1.29	1290	4.1313
4.5327	1.29	1295	4.1215
4.9565	1.3	1300	4.1188
4.5604	1.3	1305	4.1207
4.8142	1.31	1310	4.1203
4.2889	1.31	1315	4.1161
5.1939	1.32	1320	4.1131
4.945	1.32	1325	4.1114
4.1199	1.33	1330	4.1099
4.7964	1.33	1335	4.1061
4.3781	1.34	1340	4.1028
4.9565	1.34	1345	4.1014
5.3126	1.35	1350	4.1021
4.5448	1.35	1355	4.1016
4.3571	1.36	1360	4.1007
4.326	1.36	1365	4.0991
4.4253	1.37	1370	4.0985
4.5005	1.38	1375	4.1032
4.6244	1.38	1380	4.1051
3.8342	1.39	1385	4.1015
4.0543	1.39	1390	4.0978
4.6442	1.4	1395	4.0983
4.3291	1.4	1400	4.0963
4.5691	1.41	1405	4.0945
4.9671	1.41	1410	4.0954
4.5716	1.42	1415	4.0972
3.902	1.42	1420	4.0971
4.5315	1.43	1425	4.0965
4.5406	1.43	1430	4.0926
4.1302	1.44	1435	4.0872
4.3604	1.44	1440	4.0835
4.1604	1.45	1445	4.0827
4.8637	1.45	1450	4.0849
4.5713	1.46	1455	4.0861
4.423	1.46	1460	4.0831
4.5139	1.47	1465	4.0826
4.4847	1.47	1470	4.0821
4.9047	1.48	1475	4.0801
5.1684	1.48	1480	4.0776
4.5978	1.48	1485	4.0742
4.0684	1.49	1490	4.0732
4.7226	1.5	1495	4.0729
3.8713	1.5	1500	4.0713
4.7169	1.5	1505	4.0716
4.4524	1.51	1510	4.0713
4.2113	1.52	1515	4.0708
4.3621	1.52	1520	4.0700
4.5301	1.52	1525	4.0713
4.4511	1.53	1530	4.0717
5.0219	1.54	1535	4.0677
4.9014	1.54	1540	4.0648
4.5634	1.54	1545	4.0639
4.4578	1.55	1550	4.0617
4.1924	1.56	1555	4.0592
4.8234	1.56	1560	4.0593
4.3975	1.56	1565	4.0601
4.0672	1.57	1570	4.0587
4.6576	1.57	1575	4.0582
4.1821	1.58	1580	4.0586
4.1491	1.58	1585	4.0597
4.3562	1.59	1590	4.0583
3.8996	1.59	1595	4.0562
4.5778	1.6	1600	4.0550
4.7985	1.6	1605	4.0530
4.8654	1.61	1610	4.0541
4.7365	1.61	1615	4.0535
4.3848	1.62	1620	4.0517
4.3798	1.62	1625	4.0496
4.5424	1.63	1630	4.0480
4.2378	1.64	1635	4.0459
4.2607	1.64	1640	4.0442
4.2772	1.65	1645	4.0439
4.4935	1.65	1650	4.0423
4.5386	1.66	1655	4.0388
4.5771	1.66	1660	4.0367
3.9865	1.67	1665	4.0365
4.361	1.67	1670	4.0362
4.3416	1.68	1675	4.0362
3.8893	1.68	1680	4.0374
4.8928	1.69	1685	4.0376
4.8958	1.69	1690	4.0356
4.0317	1.69	1695	4.0339
4.663	1.7	1700	4.0336
4.6742	1.71	1705	4.0331
3.4518	1.71	1710	4.0328
4.9173	1.71	1715	4.0314
4.4265	1.72	1720	4.0300
4.542	1.73	1725	4.0303
4.7431	1.73	1730	4.0303
4.2525	1.73	1735	4.0296
4.2884	1.74	1740	4.0297
3.696	1.75	1745	4.0293
4.1032	1.75	1750	4.0263
4.1774	1.75	1755	4.0230
5.0809	1.76	1760	4.0238
3.6309	1.77	1765	4.0255
4.6119	1.77	1770	4.0227
5.0271	1.77	1775	4.0208
4.2418	1.78	1780	4.0198
4.1929	1.79	1785	4.0177
4.3941	1.79	1790	4.0181
4.6227	1.79	1795	4.0176
4.9766	1.8	1800	4.0155
4.579	1.81	1805	4.0144
4.6016	1.81	1810	4.0135
4.7758	1.81	1815	4.0130
4.0278	1.82	1820	4.0150
4.4703	1.82	1825	4.0141
4.607	1.83	1830	4.0122
4.1215	1.83	1835	4.0108
4.3157	1.84	1840	4.0094
4.0384	1.84	1845	4.0104
4.1896	1.85	1850	4.0103
4.7757	1.85	1855	4.0085
4.4131	1.86	1860	4.0080
4.3586	1.86	1865	4.0096
4.6053	1.87	1870	4.0094
4.3162	1.88	1875	4.0069
5.0003	1.88	1880	4.0050
4.4493	1.89	1885	4.0034
4.1648	1.89	1890	4.0029
4.4535	1.9	1895	4.0029
4.4156	1.9	1900	3.9992
4.2411	1.91	1905	3.9962
4.9697	1.91	1910	3.9966
4.2602	1.92	1915	3.9982
4.4951	1.92	1920	3.9990
4.7482	1.93	1925	3.9968
4.3534	1.93	1930	3.9951
5.0683	1.94	1935	3.9963
4.843	1.94	1940	3.9973
4.0364	1.94	1945	3.9967
3.7563	1.95	1950	3.9953
4.2035	1.96	1955	3.9925
4.463	1.96	1960	3.9920
4.7372	1.96	1965	3.9931
4.2208	1.97	1970	3.9900
3.8139	1.98	1975	3.9877
4.2758	1.98	1980	3.9868
4.0099	1.98	1985	3.9874
5.1692	1.99	1990	3.9888
4.1333	2.0	1995	3.9896
4.4296	2.0	2000	3.9903
4.5677	2.0	2005	3.9890
4.4326	2.01	2010	3.9872
4.0894	2.02	2015	3.9868
3.683	2.02	2020	3.9848
4.5024	2.02	2025	3.9839
4.3705	2.03	2030	3.9831
4.8082	2.04	2035	3.9807
4.8354	2.04	2040	3.9795
4.2548	2.04	2045	3.9804
4.8943	2.05	2050	3.9823
4.5138	2.06	2055	3.9841
4.0495	2.06	2060	3.9834
4.3921	2.06	2065	3.9816
4.2497	2.07	2070	3.9810
4.4695	2.08	2075	3.9799
4.5676	2.08	2080	3.9791
4.3469	2.08	2085	3.9795
4.04	2.09	2090	3.9786
4.1907	2.1	2095	3.9791
4.1185	2.1	2100	3.9779
4.5267	2.1	2105	3.9758
3.4855	2.11	2110	3.9735
5.0812	2.12	2115	3.9742
4.1327	2.12	2120	3.9745
4.4048	2.12	2125	3.9733
4.1267	2.13	2130	3.9736
4.0356	2.13	2135	3.9737
4.1744	2.14	2140	3.9725
4.9535	2.15	2145	3.9719
4.3504	2.15	2150	3.9711
4.0647	2.15	2155	3.9699
4.568	2.16	2160	3.9674
4.6747	2.17	2165	3.9659
4.4973	2.17	2170	3.9663
3.9678	2.17	2175	3.9674
4.219	2.18	2180	3.9682
4.2713	2.19	2185	3.9669
5.2852	2.19	2190	3.9675
4.9128	2.19	2195	3.9696
4.3239	2.2	2200	3.9675
4.3266	2.21	2205	3.9650
4.2851	2.21	2210	3.9647
4.3746	2.21	2215	3.9659
3.8462	2.22	2220	3.9670
4.3156	2.23	2225	3.9643
3.6805	2.23	2230	3.9607
4.7169	2.23	2235	3.9575
3.8626	2.24	2240	3.9578
5.1099	2.25	2245	3.9599
4.5277	2.25	2250	3.9620
3.7825	2.25	2255	3.9617
3.9977	2.26	2260	3.9589
3.9344	2.27	2265	3.9549
3.9049	2.27	2270	3.9529
4.0915	2.27	2275	3.9513
4.1267	2.28	2280	3.9507
4.7591	2.29	2285	3.9526
4.5139	2.29	2290	3.9529
4.5237	2.29	2295	3.9509
4.8828	2.3	2300	3.9513
4.6428	2.31	2305	3.9526
4.3844	2.31	2310	3.9538
4.3702	2.31	2315	3.9545
4.1204	2.32	2320	3.9525
4.4822	2.33	2325	3.9504
4.1424	2.33	2330	3.9492
4.1977	2.33	2335	3.9489
4.0861	2.34	2340	3.9496
4.1321	2.34	2345	3.9520
4.1543	2.35	2350	3.9519
3.9797	2.35	2355	3.9496
4.6769	2.36	2360	3.9470
3.9915	2.37	2365	3.9460
3.853	2.37	2370	3.9459
4.8962	2.38	2375	3.9466
4.5415	2.38	2380	3.9468
4.6139	2.38	2385	3.9436
3.8336	2.39	2390	3.9413
3.7855	2.4	2395	3.9402
4.2965	2.4	2400	3.9404
4.1001	2.41	2405	3.9413
4.7566	2.41	2410	3.9398
3.8378	2.42	2415	3.9378
4.1376	2.42	2420	3.9375
4.8079	2.42	2425	3.9392
4.1692	2.43	2430	3.9396
4.5274	2.44	2435	3.9392
4.3012	2.44	2440	3.9382
4.3001	2.44	2445	3.9366
4.0137	2.45	2450	3.9353
4.5679	2.46	2455	3.9346
4.1321	2.46	2460	3.9343
4.595	2.46	2465	3.9330
4.4367	2.47	2470	3.9328
4.3959	2.48	2475	3.9336
4.1377	2.48	2480	3.9328
4.5895	2.48	2485	3.9326
4.1882	2.49	2490	3.9342
4.7256	2.5	2495	3.9352
4.0201	2.5	2500	3.9360
4.1566	2.5	2505	3.9353
4.9944	2.51	2510	3.9331
4.6265	2.52	2515	3.9302
4.3848	2.52	2520	3.9298
4.3459	2.52	2525	3.9295
4.6061	2.53	2530	3.9288
4.5797	2.54	2535	3.9305
4.0424	2.54	2540	3.9305
4.0878	2.54	2545	3.9283
4.6856	2.55	2550	3.9262
4.6953	2.56	2555	3.9246
4.5423	2.56	2560	3.9228
4.2723	2.56	2565	3.9223
4.8376	2.57	2570	3.9230
4.188	2.58	2575	3.9238
4.4571	2.58	2580	3.9245
4.0081	2.58	2585	3.9243
4.2055	2.59	2590	3.9238
4.0474	2.59	2595	3.9234
3.7457	2.6	2600	3.9214
4.0426	2.6	2605	3.9188
4.3573	2.61	2610	3.9178
4.417	2.62	2615	3.9179
4.606	2.62	2620	3.9173
4.1429	2.62	2625	3.9161
4.4719	2.63	2630	3.9164
3.4549	2.63	2635	3.9194
3.8654	2.64	2640	3.9208
4.6363	2.65	2645	3.9185
4.2327	2.65	2650	3.9161
4.3294	2.66	2655	3.9151
4.1978	2.66	2660	3.9161
3.9422	2.67	2665	3.9159
4.4014	2.67	2670	3.9145
3.9337	2.67	2675	3.9129
3.9783	2.68	2680	3.9112
4.6775	2.69	2685	3.9104
4.6441	2.69	2690	3.9116
4.6228	2.69	2695	3.9116
3.6459	2.7	2700	3.9112
4.4485	2.71	2705	3.9105
4.1976	2.71	2710	3.9101
4.649	2.71	2715	3.9095
4.4263	2.72	2720	3.9096
3.3962	2.73	2725	3.9098
4.2627	2.73	2730	3.9098
4.4528	2.73	2735	3.9085
4.1863	2.74	2740	3.9070
4.5931	2.75	2745	3.9064
4.0174	2.75	2750	3.9055
4.5171	2.75	2755	3.9064
4.1273	2.76	2760	3.9057
4.0819	2.77	2765	3.9033
4.4634	2.77	2770	3.9020
4.1593	2.77	2775	3.9025
3.9992	2.78	2780	3.9045
3.8565	2.79	2785	3.9032
3.5495	2.79	2790	3.9009
4.596	2.79	2795	3.9004
4.1271	2.8	2800	3.9005
4.0966	2.81	2805	3.9019
4.0801	2.81	2810	3.9024
3.8672	2.81	2815	3.9016
3.9228	2.82	2820	3.9003
3.913	2.83	2825	3.8983
4.3682	2.83	2830	3.8967
4.0666	2.83	2835	3.8969
4.1606	2.84	2840	3.8963
4.6725	2.84	2845	3.8956
4.4774	2.85	2850	3.8951
4.0847	2.85	2855	3.8951
4.4067	2.86	2860	3.8949
4.0299	2.87	2865	3.8941
4.7185	2.87	2870	3.8937
4.1162	2.88	2875	3.8932
4.5841	2.88	2880	3.8942
4.2323	2.88	2885	3.8951
4.5088	2.89	2890	3.8961
4.1414	2.9	2895	3.8955
3.8931	2.9	2900	3.8952
4.7996	2.91	2905	3.8939
4.1964	2.91	2910	3.8927
4.7239	2.92	2915	3.8933
4.4599	2.92	2920	3.8946
4.2597	2.92	2925	3.8937
4.5793	2.93	2930	3.8926
4.3742	2.94	2935	3.8928
4.2897	2.94	2940	3.8926
4.0246	2.94	2945	3.8931
4.4328	2.95	2950	3.8918
4.6895	2.96	2955	3.8917
4.0824	2.96	2960	3.8924
4.3442	2.96	2965	3.8926
3.4981	2.97	2970	3.8912
4.8214	2.98	2975	3.8897
4.1036	2.98	2980	3.8888
4.4073	2.98	2985	3.8879
4.6808	2.99	2990	3.8877
4.3892	3.0	2995	3.8883
4.7248	3.0	3000	3.8885
4.0175	3.0	3005	3.8877
4.0785	3.01	3010	3.8877
4.1511	3.02	3015	3.8880
4.2214	3.02	3020	3.8887
4.2427	3.02	3025	3.8897
4.2212	3.03	3030	3.8898
4.0208	3.04	3035	3.8913
4.7839	3.04	3040	3.8912
4.8728	3.04	3045	3.8903
4.5293	3.05	3050	3.8894
4.8495	3.06	3055	3.8903
3.9344	3.06	3060	3.8899
4.1261	3.06	3065	3.8874
5.0396	3.07	3070	3.8857
3.9926	3.08	3075	3.8858
4.1073	3.08	3080	3.8857
4.0072	3.08	3085	3.8853
4.2802	3.09	3090	3.8846
4.2372	3.1	3095	3.8833
4.4276	3.1	3100	3.8817
4.5584	3.1	3105	3.8810
4.1251	3.11	3110	3.8818
4.2728	3.12	3115	3.8822
4.4186	3.12	3120	3.8810
4.2975	3.12	3125	3.8798
4.5717	3.13	3130	3.8788
4.0652	3.13	3135	3.8794
3.8491	3.14	3140	3.8803
4.2862	3.15	3145	3.8799
4.1288	3.15	3150	3.8787
4.4886	3.15	3155	3.8773
3.7938	3.16	3160	3.8769
3.9112	3.17	3165	3.8769
3.86	3.17	3170	3.8768
4.9015	3.17	3175	3.8775
4.2033	3.18	3180	3.8785
4.0032	3.19	3185	3.8776
4.0732	3.19	3190	3.8756
3.3056	3.19	3195	3.8750
4.4193	3.2	3200	3.8753
4.4991	3.21	3205	3.8763
4.8691	3.21	3210	3.8764
3.9776	3.21	3215	3.8754
4.158	3.22	3220	3.8736
3.6819	3.23	3225	3.8722
3.8983	3.23	3230	3.8719
4.4902	3.23	3235	3.8722
4.1898	3.24	3240	3.8727
3.9784	3.25	3245	3.8724
4.4101	3.25	3250	3.8722
4.5871	3.25	3255	3.8719
3.9554	3.26	3260	3.8722
3.9667	3.27	3265	3.8724
4.6415	3.27	3270	3.8711
4.5102	3.27	3275	3.8714
4.258	3.28	3280	3.8717
3.6302	3.29	3285	3.8717
3.9703	3.29	3290	3.8708
4.9463	3.29	3295	3.8693
3.8787	3.3	3300	3.8691
4.2967	3.31	3305	3.8695
4.303	3.31	3310	3.8707
4.238	3.31	3315	3.8713
4.5253	3.32	3320	3.8697
4.3451	3.33	3325	3.8687
4.0855	3.33	3330	3.8691
3.9461	3.33	3335	3.8694
3.6798	3.34	3340	3.8693
3.8279	3.34	3345	3.8686
4.6282	3.35	3350	3.8685
4.3879	3.35	3355	3.8684
3.9964	3.36	3360	3.8678
4.2031	3.37	3365	3.8665
4.0919	3.37	3370	3.8658
4.3042	3.38	3375	3.8656
4.0106	3.38	3380	3.8661
3.9182	3.38	3385	3.8659
3.9731	3.39	3390	3.8653
4.0306	3.4	3395	3.8641
4.0333	3.4	3400	3.8632
4.7746	3.41	3405	3.8629
4.2721	3.41	3410	3.8623
4.535	3.42	3415	3.8622
4.3313	3.42	3420	3.8617
4.5889	3.42	3425	3.8623
3.905	3.43	3430	3.8625
4.1535	3.44	3435	3.8621
4.0393	3.44	3440	3.8614
4.0536	3.44	3445	3.8618
4.2305	3.45	3450	3.8634
3.6471	3.46	3455	3.8641
3.8798	3.46	3460	3.8635
4.0766	3.46	3465	3.8627
4.4329	3.47	3470	3.8617
4.1079	3.48	3475	3.8602
3.6976	3.48	3480	3.8592
4.247	3.48	3485	3.8591
4.8438	3.49	3490	3.8598
4.0242	3.5	3495	3.8595
3.8094	3.5	3500	3.8590
4.3635	3.5	3505	3.8586
3.7501	3.51	3510	3.8581
4.1672	3.52	3515	3.8573
3.6713	3.52	3520	3.8562
4.2809	3.52	3525	3.8557
4.2511	3.53	3530	3.8563
3.9146	3.54	3535	3.8573
4.1589	3.54	3540	3.8575
4.2201	3.54	3545	3.8563
4.06	3.55	3550	3.8552
4.4074	3.56	3555	3.8545
3.9658	3.56	3560	3.8546
4.7094	3.56	3565	3.8557
4.3703	3.57	3570	3.8562
4.5679	3.58	3575	3.8554
4.2661	3.58	3580	3.8553
4.283	3.58	3585	3.8558
4.2235	3.59	3590	3.8568
3.8994	3.59	3595	3.8574
4.1538	3.6	3600	3.8570
4.6619	3.6	3605	3.8555
4.5081	3.61	3610	3.8548
4.092	3.62	3615	3.8547
3.8211	3.62	3620	3.8547
4.4666	3.62	3625	3.8556
4.3841	3.63	3630	3.8567
3.9643	3.63	3635	3.8568
4.1589	3.64	3640	3.8557
3.9494	3.65	3645	3.8553
4.2183	3.65	3650	3.8545
3.9059	3.66	3655	3.8533
4.2617	3.66	3660	3.8529
4.5316	3.67	3665	3.8529
3.7252	3.67	3670	3.8528
4.6909	3.67	3675	3.8532
4.2629	3.68	3680	3.8533
4.2451	3.69	3685	3.8522
4.2689	3.69	3690	3.8510
4.1788	3.69	3695	3.8506
4.1708	3.7	3700	3.8503
4.5263	3.71	3705	3.8492
4.3627	3.71	3710	3.8491
3.5792	3.71	3715	3.8488
4.2716	3.72	3720	3.8481
3.4022	3.73	3725	3.8474
4.9907	3.73	3730	3.8478
4.4371	3.73	3735	3.8473
3.9071	3.74	3740	3.8467
4.3084	3.75	3745	3.8466
3.9083	3.75	3750	3.8464
4.3144	3.75	3755	3.8464
4.4101	3.76	3760	3.8457
4.1981	3.77	3765	3.8451
4.3206	3.77	3770	3.8439
4.3279	3.77	3775	3.8433
4.2531	3.78	3780	3.8435
4.7599	3.79	3785	3.8439
4.1218	3.79	3790	3.8448
4.2353	3.79	3795	3.8449
3.9031	3.8	3800	3.8443
3.6663	3.81	3805	3.8431
3.9943	3.81	3810	3.8420
3.8779	3.81	3815	3.8417
3.9251	3.82	3820	3.8419
4.363	3.83	3825	3.8426
4.019	3.83	3830	3.8436
3.7394	3.83	3835	3.8440
4.1279	3.84	3840	3.8438
3.9409	3.84	3845	3.8432
4.5524	3.85	3850	3.8422
4.4155	3.85	3855	3.8411
4.6413	3.86	3860	3.8413
4.4415	3.87	3865	3.8410
3.8201	3.87	3870	3.8408
4.4878	3.88	3875	3.8403
3.861	3.88	3880	3.8400
4.0682	3.88	3885	3.8405
4.7978	3.89	3890	3.8401
4.4097	3.9	3895	3.8391
4.4347	3.9	3900	3.8388
4.4349	3.91	3905	3.8391
3.9581	3.91	3910	3.8392
3.7021	3.92	3915	3.8391
4.3227	3.92	3920	3.8387
3.5064	3.92	3925	3.8389
4.2666	3.93	3930	3.8389
4.382	3.94	3935	3.8388
4.137	3.94	3940	3.8388
4.0055	3.94	3945	3.8386
3.8426	3.95	3950	3.8385
4.2374	3.96	3955	3.8378
3.9991	3.96	3960	3.8373
4.0343	3.96	3965	3.8370
4.1439	3.97	3970	3.8366
4.3923	3.98	3975	3.8366
4.6038	3.98	3980	3.8362
4.1277	3.98	3985	3.8355
4.1824	3.99	3990	3.8356
3.4202	4.0	3995	3.8355
4.3532	4.0	4000	3.8352
4.3345	4.0	4005	3.8353
4.225	4.01	4010	3.8354
3.7832	4.01	4015	3.8350
4.2151	4.02	4020	3.8344
4.5393	4.03	4025	3.8340
3.9291	4.03	4030	3.8340
3.8692	4.04	4035	3.8342
4.5301	4.04	4040	3.8349
4.1644	4.04	4045	3.8350
4.111	4.05	4050	3.8346
4.2112	4.05	4055	3.8342
3.9968	4.06	4060	3.8336
3.8892	4.07	4065	3.8332
4.2054	4.07	4070	3.8332
4.4763	4.08	4075	3.8333
3.5769	4.08	4080	3.8335
4.239	4.08	4085	3.8337
4.5671	4.09	4090	3.8331
3.8508	4.09	4095	3.8327
4.2084	4.1	4100	3.8328
4.4061	4.11	4105	3.8334
4.3508	4.11	4110	3.8339
4.247	4.12	4115	3.8343
4.3345	4.12	4120	3.8339
4.5336	4.12	4125	3.8334
4.3351	4.13	4130	3.8327
4.5365	4.13	4135	3.8324
4.2447	4.14	4140	3.8331
4.4618	4.14	4145	3.8336
3.8074	4.15	4150	3.8339
4.6309	4.16	4155	3.8339
3.8791	4.16	4160	3.8334
3.8017	4.17	4165	3.8330
4.2958	4.17	4170	3.8319
4.1105	4.17	4175	3.8310
4.2832	4.18	4180	3.8307
4.1977	4.18	4185	3.8306
3.7782	4.19	4190	3.8309
4.261	4.2	4195	3.8311
3.7044	4.2	4200	3.8308
3.6794	4.21	4205	3.8304
4.2102	4.21	4210	3.8300
4.3131	4.21	4215	3.8297
3.9885	4.22	4220	3.8297
4.4816	4.22	4225	3.8297
4.411	4.23	4230	3.8295
4.1986	4.24	4235	3.8294
4.477	4.24	4240	3.8292
4.6365	4.25	4245	3.8296
4.5862	4.25	4250	3.8297
4.3346	4.25	4255	3.8294
4.0682	4.26	4260	3.8288
3.853	4.26	4265	3.8287
4.6465	4.27	4270	3.8286
4.2218	4.28	4275	3.8286
3.7387	4.28	4280	3.8288
4.3111	4.29	4285	3.8288
4.1761	4.29	4290	3.8286
3.9565	4.29	4295	3.8282
4.3844	4.3	4300	3.8281
3.9836	4.3	4305	3.8283
4.291	4.31	4310	3.8283
4.2588	4.32	4315	3.8281
4.3338	4.32	4320	3.8280
4.3251	4.33	4325	3.8276
4.9914	4.33	4330	3.8277
3.8573	4.33	4335	3.8276
4.199	4.34	4340	3.8276
4.343	4.34	4345	3.8276
3.9257	4.35	4350	3.8277
4.1807	4.36	4355	3.8277
3.8192	4.36	4360	3.8278
3.6936	4.37	4365	3.8280
3.7973	4.37	4370	3.8278
4.3181	4.38	4375	3.8273
4.0952	4.38	4380	3.8271
4.143	4.38	4385	3.8267
3.4262	4.39	4390	3.8262
4.2879	4.39	4395	3.8258
4.0767	4.4	4400	3.8259
3.6708	4.41	4405	3.8259
4.1406	4.41	4410	3.8259
4.1936	4.42	4415	3.8258
4.1425	4.42	4420	3.8254
3.9658	4.42	4425	3.8248
4.2592	4.43	4430	3.8244
3.6257	4.43	4435	3.8243
4.0657	4.44	4440	3.8244
4.037	4.45	4445	3.8247
3.8935	4.45	4450	3.8248
4.2526	4.46	4455	3.8250
4.1391	4.46	4460	3.8248
3.5958	4.46	4465	3.8245
4.2515	4.47	4470	3.8243
4.4141	4.47	4475	3.8242
3.9114	4.48	4480	3.8243
3.9673	4.49	4485	3.8243
4.1606	4.49	4490	3.8245
3.9626	4.5	4495	3.8247
3.9026	4.5	4500	3.8251
4.0062	4.5	4505	3.8253
4.3692	4.51	4510	3.8255
3.6731	4.51	4515	3.8257
4.0109	4.52	4520	3.8254
3.9865	4.53	4525	3.8250
4.2625	4.53	4530	3.8247
4.13	4.54	4535	3.8245
3.9833	4.54	4540	3.8243
4.8716	4.54	4545	3.8240
4.4946	4.55	4550	3.8239
4.1646	4.55	4555	3.8238
4.7925	4.56	4560	3.8239
4.1141	4.56	4565	3.8239
3.6231	4.57	4570	3.8237
4.4231	4.58	4575	3.8236
4.2955	4.58	4580	3.8236
4.2782	4.58	4585	3.8236
4.8128	4.59	4590	3.8234
4.2258	4.59	4595	3.8233
4.3809	4.6	4600	3.8233
3.9892	4.61	4605	3.8236
4.0309	4.61	4610	3.8236
4.4823	4.62	4615	3.8236
4.2281	4.62	4620	3.8236
3.8687	4.62	4625	3.8236
4.4344	4.63	4630	3.8235
3.9185	4.63	4635	3.8235
3.629	4.64	4640	3.8233
4.2633	4.64	4645	3.8230
4.3754	4.65	4650	3.8227
3.9221	4.66	4655	3.8224
3.7529	4.66	4660	3.8224
4.4016	4.67	4665	3.8226
3.6318	4.67	4670	3.8228
4.4018	4.67	4675	3.8229
4.2816	4.68	4680	3.8230
4.1905	4.69	4685	3.8229
4.0126	4.69	4690	3.8229
4.455	4.7	4695	3.8229
4.2186	4.7	4700	3.8230
4.2697	4.71	4705	3.8230
4.0212	4.71	4710	3.8230
3.8916	4.71	4715	3.8228
3.7803	4.72	4720	3.8226
3.9506	4.72	4725	3.8223
4.4221	4.73	4730	3.8222
4.7067	4.74	4735	3.8221
3.4717	4.74	4740	3.8220
4.4742	4.75	4745	3.8219
4.2823	4.75	4750	3.8219
4.2775	4.75	4755	3.8217
4.2275	4.76	4760	3.8217
4.1884	4.76	4765	3.8218
4.1527	4.77	4770	3.8218
4.4866	4.78	4775	3.8217
4.3107	4.78	4780	3.8217
3.8301	4.79	4785	3.8217
4.3791	4.79	4790	3.8217
4.405	4.79	4795	3.8216
3.7942	4.8	4800	3.8214
3.9051	4.8	4805	3.8213
3.6073	4.81	4810	3.8212
4.6592	4.81	4815	3.8212
4.1702	4.82	4820	3.8212
4.0455	4.83	4825	3.8213
3.9645	4.83	4830	3.8213
4.4426	4.83	4835	3.8213
4.0786	4.84	4840	3.8213
3.8831	4.84	4845	3.8215
4.3726	4.85	4850	3.8215
4.2787	4.86	4855	3.8216
4.6428	4.86	4860	3.8216
4.5331	4.87	4865	3.8215
4.0448	4.87	4870	3.8214
3.4437	4.88	4875	3.8213
4.0504	4.88	4880	3.8212
4.141	4.88	4885	3.8212
3.9579	4.89	4890	3.8211
4.0819	4.89	4895	3.8212
4.2439	4.9	4900	3.8211
3.7139	4.91	4905	3.8211
3.7837	4.91	4910	3.8210
3.7773	4.92	4915	3.8209
4.4716	4.92	4920	3.8208
4.6626	4.92	4925	3.8208
4.4105	4.93	4930	3.8208
4.1985	4.94	4935	3.8208
4.1113	4.94	4940	3.8208
3.9539	4.95	4945	3.8207
3.6522	4.95	4950	3.8207
3.4052	4.96	4955	3.8207
4.3835	4.96	4960	3.8207
4.3596	4.96	4965	3.8207
3.5398	4.97	4970	3.8207
3.8233	4.97	4975	3.8207
4.2495	4.98	4980	3.8207
4.1534	4.99	4985	3.8207
4.1557	4.99	4990	3.8207
4.2213	5.0	4995	3.8207
4.2958	5.0	5000	3.8207

Rouge scores

Rouge-1 (Recall)	Rouge-2 (Recall)	Rouge-L (Recall)	Rouge-1 (Precision)	Rouge-2 (Precision)	Rouge-L (Precision)	Rouge-1 (F1-Score)	Rouge-2 (F1-Score)	Rouge-L (F1-Score)
0.1657	0.064	0.149	0.529	0.264	0.481	0.244	0.100	0.221

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

⚠️ Incomplete Data

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📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• FNI scores are relative rankings and may change as new models are added.
⚠ License Unknown: Verify licensing terms before commercial use.

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🆔 Identity & Source

id: hf-model--akhilm97--pegasus_indian_legal
slug: akhilm97--pegasus_indian_legal
source: huggingface
author: akhilm97
license: MIT
tags: transformers, safetensors, pegasus, text2text-generation, generated_from_trainer, base_model:nsi319/legal-pegasus, base_model:finetune:nsi319/legal-pegasus, license:mit, endpoints_compatible, region:us

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag

📊 Engagement & Metrics

downloads: 9
stars: 0
forks: 0

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pegasus_indian_legal

Model description

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⚠️ Incomplete Data

📝 Limitations & Considerations

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