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patentbert-cased-2b

This model is a fine-tuned version of dheerajpai/patentbert-cased-2b on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7386

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: 32
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 8

Training results

Training Loss Epoch Step Validation Loss
No log 0.0 500 9.8627
No log 0.01 1000 9.2027
No log 0.01 1500 8.6850
No log 0.02 2000 8.2812
No log 0.02 2500 7.9633
No log 0.02 3000 7.5954
No log 0.03 3500 7.1340
No log 0.03 4000 6.8118
No log 0.04 4500 6.3400
8.258 0.04 5000 6.0304
8.258 0.04 5500 5.6439
8.258 0.05 6000 5.4371
8.258 0.05 6500 5.2129
8.258 0.06 7000 4.8019
8.258 0.06 7500 4.6059
8.258 0.06 8000 4.9373
8.258 0.07 8500 4.7648
8.258 0.07 9000 4.3130
8.258 0.08 9500 4.3170
5.251 0.08 10000 4.2044
5.251 0.08 10500 4.3572
5.251 0.09 11000 4.0965
5.251 0.09 11500 3.8913
5.251 0.1 12000 3.6473
5.251 0.1 12500 3.8280
5.251 0.1 13000 3.8590
5.251 0.11 13500 3.8026
5.251 0.11 14000 3.7141
5.251 0.12 14500 3.5009
4.1422 0.12 15000 3.7908
4.1422 0.12 15500 3.0834
4.1422 0.13 16000 3.4056
4.1422 0.13 16500 3.4878
4.1422 0.14 17000 3.3740
4.1422 0.14 17500 3.4094
4.1422 0.14 18000 3.1758
4.1422 0.15 18500 3.2312
4.1422 0.15 19000 3.3849
4.1422 0.16 19500 3.3957
3.5492 0.16 20000 3.0440
3.5492 0.16 20500 3.1007
3.5492 0.17 21000 3.0898
3.5492 0.17 21500 2.9429
3.5492 0.18 22000 2.7426
3.5492 0.18 22500 3.0872
3.5492 0.18 23000 3.1064
3.5492 0.19 23500 2.8225
3.5492 0.19 24000 2.8604
3.5492 0.2 24500 2.9205
3.1364 0.2 25000 2.9968
3.1364 0.2 25500 2.9321
3.1364 0.21 26000 2.7845
3.1364 0.21 26500 2.4975
3.1364 0.22 27000 2.7542
3.1364 0.22 27500 2.4976
3.1364 0.22 28000 2.9023
3.1364 0.23 28500 2.5777
3.1364 0.23 29000 2.2451
3.1364 0.24 29500 2.5016
2.8292 0.24 30000 2.4634
2.8292 0.24 30500 2.4906
2.8292 0.25 31000 2.4961
2.8292 0.25 31500 2.6435
2.8292 0.26 32000 2.4159
2.8292 0.26 32500 2.4919
2.8292 0.26 33000 2.4065
2.8292 0.27 33500 2.3801
2.8292 0.27 34000 2.3767
2.8292 0.28 34500 2.3218
2.5897 0.28 35000 2.2091
2.5897 0.28 35500 2.3894
2.5897 0.29 36000 2.1580
2.5897 0.29 36500 2.5139
2.5897 0.29 37000 2.2181
2.5897 0.3 37500 2.1560
2.5897 0.3 38000 2.2482
2.5897 0.31 38500 2.2128
2.5897 0.31 39000 2.1223
2.5897 0.31 39500 2.2541
2.4138 0.32 40000 2.2059
2.4138 0.32 40500 1.9793
2.4138 0.33 41000 2.2731
2.4138 0.33 41500 1.9429
2.4138 0.33 42000 2.0747
2.4138 0.34 42500 2.3056
2.4138 0.34 43000 2.0994
2.4138 0.35 43500 2.0565
2.4138 0.35 44000 1.9472
2.4138 0.35 44500 2.2743
2.2557 0.36 45000 2.0191
2.2557 0.36 45500 2.3667
2.2557 0.37 46000 2.0789
2.2557 0.37 46500 1.9747
2.2557 0.37 47000 2.1236
2.2557 0.38 47500 1.9784
2.2557 0.38 48000 1.9424
2.2557 0.39 48500 1.8821
2.2557 0.39 49000 2.0140
2.2557 0.39 49500 1.8422
2.1462 0.4 50000 2.1103
2.1462 0.4 50500 2.0816
2.1462 0.41 51000 1.7359
2.1462 0.41 51500 1.8057
2.1462 0.41 52000 2.1579
2.1462 0.42 52500 2.0479
2.1462 0.42 53000 1.9390
2.1462 0.43 53500 1.8397
2.1462 0.43 54000 1.7522
2.1462 0.43 54500 1.7827
2.0489 0.44 55000 1.8615
2.0489 0.44 55500 1.8347
2.0489 0.45 56000 1.7120
2.0489 0.45 56500 1.7201
2.0489 0.45 57000 1.5593
2.0489 0.46 57500 1.7932
2.0489 0.46 58000 1.7842
2.0489 0.47 58500 1.7894
2.0489 0.47 59000 1.8520
2.0489 0.47 59500 1.7502
1.9598 0.48 60000 1.6731
1.9598 0.48 60500 1.7416
1.9598 0.49 61000 1.6411
1.9598 0.49 61500 1.8514
1.9598 0.49 62000 1.9642
1.9598 0.5 62500 1.5344
1.9598 0.5 63000 1.7488
1.9598 0.51 63500 1.7477
1.9598 0.51 64000 1.7279
1.9598 0.51 64500 1.8648
1.8979 0.52 65000 1.8008
1.8979 0.52 65500 1.5657
1.8979 0.53 66000 1.8825
1.8979 0.53 66500 1.8036
1.8979 0.53 67000 1.7124
1.8979 0.54 67500 1.8308
1.8979 0.54 68000 1.7995
1.8979 0.55 68500 1.7283
1.8979 0.55 69000 1.6861
1.8979 0.55 69500 1.4763
1.8402 0.56 70000 1.5661
1.8402 0.56 70500 1.5383
1.8402 0.57 71000 1.8667
1.8402 0.57 71500 1.7676
1.8402 0.57 72000 1.7528
1.8402 0.58 72500 1.6035
1.8402 0.58 73000 1.7723
1.8402 0.59 73500 1.6066
1.8402 0.59 74000 1.6500
1.8402 0.59 74500 1.5557
1.7821 0.6 75000 1.4868
1.7821 0.6 75500 1.8054
1.7821 0.61 76000 1.5373
1.7821 0.61 76500 1.5591
1.7821 0.61 77000 1.6233
1.7821 0.62 77500 1.7948
1.7821 0.62 78000 1.6528
1.7821 0.63 78500 1.4596
1.7821 0.63 79000 1.7457
1.7821 0.63 79500 1.6816
1.7425 0.64 80000 1.5861
1.7425 0.64 80500 1.5624
1.7425 0.65 81000 1.7272
1.7425 0.65 81500 1.6195
1.7425 0.65 82000 1.5381
1.7425 0.66 82500 1.6985
1.7425 0.66 83000 1.2245
1.7425 0.67 83500 1.5196
1.7425 0.67 84000 1.3690
1.7425 0.67 84500 1.6264
1.7049 0.68 85000 1.3649
1.7049 0.68 85500 1.5613
1.7049 0.69 86000 1.5881
1.7049 0.69 86500 1.4998
1.7049 0.69 87000 1.5163
1.7049 0.7 87500 1.4085
1.7049 0.7 88000 1.5016
1.7049 0.71 88500 1.7249
1.7049 0.71 89000 1.4727
1.7049 0.71 89500 1.5269
1.6599 0.72 90000 1.5761
1.6599 0.72 90500 1.3844
1.6599 0.73 91000 1.5711
1.6599 0.73 91500 1.7601
1.6599 0.73 92000 1.6481
1.6599 0.74 92500 1.5420
1.6599 0.74 93000 1.4371
1.6599 0.75 93500 1.4981
1.6599 0.75 94000 1.4253
1.6599 0.75 94500 1.5276
1.6319 0.76 95000 1.4119
1.6319 0.76 95500 1.3858
1.6319 0.77 96000 1.6609
1.6319 0.77 96500 1.4597
1.6319 0.77 97000 1.3911
1.6319 0.78 97500 1.4691
1.6319 0.78 98000 1.4334
1.6319 0.79 98500 1.4577
1.6319 0.79 99000 1.4472
1.6319 0.79 99500 1.3518
1.5987 0.8 100000 1.3524
1.5987 0.8 100500 1.5099
1.5987 0.81 101000 1.3711
1.5987 0.81 101500 1.5515
1.5987 0.81 102000 1.3635
1.5987 0.82 102500 1.3703
1.5987 0.82 103000 1.4351
1.5987 0.83 103500 1.3933
1.5987 0.83 104000 1.3455
1.5987 0.83 104500 1.3209
1.5743 0.84 105000 1.2870
1.5743 0.84 105500 1.4115
1.5743 0.85 106000 1.5582
1.5743 0.85 106500 1.4528
1.5743 0.85 107000 1.4147
1.5743 0.86 107500 1.5781
1.5743 0.86 108000 1.2833
1.5743 0.86 108500 1.4813
1.5743 0.87 109000 1.4867
1.5743 0.87 109500 1.4548
1.5404 0.88 110000 1.5176
1.5404 0.88 110500 1.3507
1.5404 0.88 111000 1.3464
1.5404 0.89 111500 1.3906
1.5404 0.89 112000 1.4433
1.5404 0.9 112500 1.4222
1.5404 0.9 113000 1.4134
1.5404 0.9 113500 1.3205
1.5404 0.91 114000 1.3225
1.5404 0.91 114500 1.3180
1.5171 0.92 115000 1.4070
1.5171 0.92 115500 1.2765
1.5171 0.92 116000 1.2837
1.5171 0.93 116500 1.5952
1.5171 0.93 117000 1.2851
1.5171 0.94 117500 1.4786
1.5171 0.94 118000 1.2831
1.5171 0.94 118500 1.2963
1.5171 0.95 119000 1.3466
1.5171 0.95 119500 1.4388
1.4948 0.96 120000 1.4326
1.4948 0.96 120500 1.3502
1.4948 0.96 121000 1.3637
1.4948 0.97 121500 1.3986
1.4948 0.97 122000 1.3145
1.4948 0.98 122500 1.4921
1.4948 0.98 123000 1.2814
1.4948 0.98 123500 1.5296
1.4948 0.99 124000 1.3287
1.4948 0.99 124500 1.3860
1.4749 1.0 125000 1.2508
1.4749 1.0 125500 1.2183
1.4749 1.0 126000 1.2128
1.4749 1.01 126500 1.2587
1.4749 1.01 127000 1.3954
1.4749 1.02 127500 1.1694
1.4749 1.02 128000 1.3757
1.4749 1.02 128500 1.5154
1.4749 1.03 129000 1.2890
1.4749 1.03 129500 1.1397
1.4532 1.04 130000 1.2732
1.4532 1.04 130500 1.3524
1.4532 1.04 131000 1.4955
1.4532 1.05 131500 1.3893
1.4532 1.05 132000 1.2044
1.4532 1.06 132500 1.3536
1.4532 1.06 133000 1.3066
1.4532 1.06 133500 1.3264
1.4532 1.07 134000 1.3495
1.4532 1.07 134500 1.3132
1.435 1.08 135000 1.2020
1.435 1.08 135500 1.3261
1.435 1.08 136000 1.3117
1.435 1.09 136500 1.2997
1.435 1.09 137000 1.2133
1.435 1.1 137500 1.3175
1.435 1.1 138000 1.3066
1.435 1.1 138500 1.2313
1.435 1.11 139000 1.1812
1.435 1.11 139500 1.2508
1.4151 1.12 140000 1.3175
1.4151 1.12 140500 1.4325
1.4151 1.12 141000 1.3262
1.4151 1.13 141500 1.1750
1.4151 1.13 142000 1.2133
1.4151 1.14 142500 1.2445
1.4151 1.14 143000 1.3284
1.4151 1.14 143500 1.3650
1.4151 1.15 144000 1.4962
1.4151 1.15 144500 1.4309
1.4066 1.16 145000 1.2417
1.4066 1.16 145500 1.2964
1.4066 1.16 146000 1.2830
1.4066 1.17 146500 1.2241
1.4066 1.17 147000 1.4035
1.4066 1.18 147500 1.4005
1.4066 1.18 148000 1.1790
1.4066 1.18 148500 1.3103
1.4066 1.19 149000 1.2165
1.4066 1.19 149500 1.2905
1.388 1.2 150000 1.3286
1.388 1.2 150500 1.2828
1.388 1.2 151000 1.3009
1.388 1.21 151500 1.2852
1.388 1.21 152000 1.1878
1.388 1.22 152500 1.2614
1.388 1.22 153000 1.0605
1.388 1.22 153500 1.1638
1.388 1.23 154000 1.2375
1.388 1.23 154500 1.2606
1.3722 1.24 155000 1.1846
1.3722 1.24 155500 1.3450
1.3722 1.24 156000 1.1545
1.3722 1.25 156500 1.2340
1.3722 1.25 157000 1.3334
1.3722 1.26 157500 1.2407
1.3722 1.26 158000 1.3045
1.3722 1.26 158500 1.2002
1.3722 1.27 159000 1.2746
1.3722 1.27 159500 1.2521
1.3663 1.28 160000 1.3306
1.3663 1.28 160500 1.2067
1.3663 1.28 161000 1.2169
1.3663 1.29 161500 1.2998
1.3663 1.29 162000 1.3240
1.3663 1.3 162500 1.2812
1.3663 1.3 163000 1.1986
1.3663 1.3 163500 1.2975
1.3663 1.31 164000 1.2203
1.3663 1.31 164500 1.3744
1.3508 1.32 165000 1.3167
1.3508 1.32 165500 1.2307
1.3508 1.32 166000 1.3716
1.3508 1.33 166500 1.1954
1.3508 1.33 167000 1.2411
1.3508 1.34 167500 1.1500
1.3508 1.34 168000 1.3098
1.3508 1.34 168500 1.3053
1.3508 1.35 169000 1.1437
1.3508 1.35 169500 1.1783
1.3408 1.36 170000 1.1428
1.3408 1.36 170500 0.9975
1.3408 1.36 171000 1.2077
1.3408 1.37 171500 1.2981
1.3408 1.37 172000 1.2690
1.3408 1.38 172500 1.2440
1.3408 1.38 173000 1.2590
1.3408 1.38 173500 1.1962
1.3408 1.39 174000 1.1456
1.3408 1.39 174500 1.1391
1.329 1.4 175000 1.2109
1.329 1.4 175500 1.3146
1.329 1.4 176000 1.2629
1.329 1.41 176500 1.3231
1.329 1.41 177000 1.2373
1.329 1.42 177500 1.2154
1.329 1.42 178000 1.1523
1.329 1.42 178500 1.0980
1.329 1.43 179000 1.2116
1.329 1.43 179500 1.0438
1.3209 1.43 180000 1.0937
1.3209 1.44 180500 1.1747
1.3209 1.44 181000 1.2175
1.3209 1.45 181500 1.1911
1.3209 1.45 182000 1.2955
1.3209 1.45 182500 1.3568
1.3209 1.46 183000 1.2583
1.3209 1.46 183500 1.1294
1.3209 1.47 184000 1.2518
1.3209 1.47 184500 1.4176
1.3121 1.47 185000 1.2939
1.3121 1.48 185500 1.2673
1.3121 1.48 186000 1.1568
1.3121 1.49 186500 1.1904
1.3121 1.49 187000 1.2539
1.3121 1.49 187500 1.1003
1.3121 1.5 188000 1.2904
1.3121 1.5 188500 1.1185
1.3121 1.51 189000 1.1803
1.3121 1.51 189500 1.1520
1.2985 1.51 190000 1.0628
1.2985 1.52 190500 1.1674
1.2985 1.52 191000 1.3292
1.2985 1.53 191500 1.2677
1.2985 1.53 192000 1.1880
1.2985 1.53 192500 1.0657
1.2985 1.54 193000 1.2185
1.2985 1.54 193500 1.0908
1.2985 1.55 194000 1.1868
1.2985 1.55 194500 1.1625
1.2895 1.55 195000 1.1407
1.2895 1.56 195500 1.1473
1.2895 1.56 196000 1.3201
1.2895 1.57 196500 1.2419
1.2895 1.57 197000 1.2045
1.2895 1.57 197500 0.9978
1.2895 1.58 198000 1.2065
1.2895 1.58 198500 1.2418
1.2895 1.59 199000 1.1549
1.2895 1.59 199500 1.1858
1.2836 1.59 200000 1.1906
1.2836 1.6 200500 1.2325
1.2836 1.6 201000 1.3087
1.2836 1.61 201500 1.0728
1.2836 1.61 202000 1.2787
1.2836 1.61 202500 1.1727
1.2836 1.62 203000 1.0469
1.2836 1.62 203500 1.3340
1.2836 1.63 204000 1.0761
1.2836 1.63 204500 1.2642
1.2797 1.63 205000 1.1980
1.2797 1.64 205500 1.1502
1.2797 1.64 206000 1.0654
1.2797 1.65 206500 1.1885
1.2797 1.65 207000 1.2763
1.2797 1.65 207500 1.2139
1.2797 1.66 208000 1.0586
1.2797 1.66 208500 1.1173
1.2797 1.67 209000 1.2186
1.2797 1.67 209500 1.0668
1.2727 1.67 210000 1.2570
1.2727 1.68 210500 1.0198
1.2727 1.68 211000 1.2429
1.2727 1.69 211500 1.1203
1.2727 1.69 212000 1.1857
1.2727 1.69 212500 1.2735
1.2727 1.7 213000 1.0924
1.2727 1.7 213500 1.1256
1.2727 1.71 214000 1.1595
1.2727 1.71 214500 1.2109
1.2604 1.71 215000 1.1420
1.2604 1.72 215500 1.2084
1.2604 1.72 216000 1.1531
1.2604 1.73 216500 1.1675
1.2604 1.73 217000 1.2062
1.2604 1.73 217500 1.0487
1.2604 1.74 218000 1.1137
1.2604 1.74 218500 1.1240
1.2604 1.75 219000 1.1896
1.2604 1.75 219500 1.1694
1.255 1.75 220000 1.1054
1.255 1.76 220500 1.1094
1.255 1.76 221000 1.2288
1.255 1.77 221500 1.3072
1.255 1.77 222000 1.0993
1.255 1.77 222500 1.1261
1.255 1.78 223000 1.0870
1.255 1.78 223500 1.1603
1.255 1.79 224000 1.1425
1.255 1.79 224500 1.1295
1.2492 1.79 225000 1.1433
1.2492 1.8 225500 1.0902
1.2492 1.8 226000 1.1728
1.2492 1.81 226500 1.0803
1.2492 1.81 227000 1.1524
1.2492 1.81 227500 1.1731
1.2492 1.82 228000 1.1492
1.2492 1.82 228500 1.2880
1.2492 1.83 229000 1.1101
1.2492 1.83 229500 1.1320
1.2452 1.83 230000 1.0673
1.2452 1.84 230500 1.0926
1.2452 1.84 231000 1.1231
1.2452 1.85 231500 1.0776
1.2452 1.85 232000 1.1208
1.2452 1.85 232500 1.0503
1.2452 1.86 233000 1.1094
1.2452 1.86 233500 1.1623
1.2452 1.87 234000 1.0658
1.2452 1.87 234500 1.0492
1.2327 1.87 235000 1.0831
1.2327 1.88 235500 1.0110
1.2327 1.88 236000 1.1749
1.2327 1.89 236500 1.0655
1.2327 1.89 237000 1.2534
1.2327 1.89 237500 1.1422
1.2327 1.9 238000 1.1467
1.2327 1.9 238500 1.1281
1.2327 1.91 239000 0.9841
1.2327 1.91 239500 1.1170
1.2325 1.91 240000 1.1572
1.2325 1.92 240500 1.1644
1.2325 1.92 241000 1.2171
1.2325 1.93 241500 1.1925
1.2325 1.93 242000 1.1166
1.2325 1.93 242500 1.2041
1.2325 1.94 243000 0.9826
1.2325 1.94 243500 1.0831
1.2325 1.95 244000 1.1144
1.2325 1.95 244500 1.0849
1.2255 1.95 245000 0.9906
1.2255 1.96 245500 1.1600
1.2255 1.96 246000 1.1415
1.2255 1.97 246500 0.9035
1.2255 1.97 247000 1.1617
1.2255 1.97 247500 1.1065
1.2255 1.98 248000 1.1450
1.2255 1.98 248500 1.2682
1.2255 1.98 249000 1.0225
1.2255 1.99 249500 1.1229
1.2147 1.99 250000 1.1526
1.2147 2.0 250500 1.1573
1.2147 2.0 251000 1.2002
1.2147 2.0 251500 1.0768
1.2147 2.01 252000 1.0987
1.2147 2.01 252500 1.1763
1.2147 2.02 253000 1.0934
1.2147 2.02 253500 1.0539
1.2147 2.02 254000 1.1261
1.2147 2.03 254500 1.1871
1.2128 2.03 255000 1.1883
1.2128 2.04 255500 1.2740
1.2128 2.04 256000 1.1024
1.2128 2.04 256500 1.1122
1.2128 2.05 257000 1.0401
1.2128 2.05 257500 1.0356
1.2128 2.06 258000 1.2112
1.2128 2.06 258500 1.0475
1.2128 2.06 259000 1.2648
1.2128 2.07 259500 1.0925
1.2127 2.07 260000 1.1146
1.2127 2.08 260500 1.1326
1.2127 2.08 261000 1.1930
1.2127 2.08 261500 1.0564
1.2127 2.09 262000 1.0438
1.2127 2.09 262500 1.1076
1.2127 2.1 263000 1.0500
1.2127 2.1 263500 1.0263
1.2127 2.1 264000 1.0023
1.2127 2.11 264500 1.1619
1.2034 2.11 265000 1.0241
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Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1
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