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metadata
license: mit
base_model: nsi319/legal-pegasus
tags:
  - generated_from_trainer
model-index:
  - name: pegasus_indian_legal
    results: []

pegasus_indian_legal

This model is a fine-tuned version of nsi319/legal-pegasus on an unknown dataset. 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
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3.4202 4.0 3995 3.8355
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4.4016 4.67 4665 3.8226
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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
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4.2186 4.7 4700 3.8230
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3.8916 4.71 4715 3.8228
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3.7942 4.8 4800 3.8214
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3.6073 4.81 4810 3.8212
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4.6626 4.92 4925 3.8208
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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

Framework versions

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