/ Модель
Каталог

Характеристики

Контекст
1 026 токенов
Параметры
197 млн
Лицензия
MIT
Архитектура
esm · dense
Базовая модель
esm2_t30_150M_UR50D
Библиотека
transformers
Опубликована
23 мар 2026

Ссылки

Hugging Face

esm-150m-peptide-fine-tune

jiahuizhang
Заполнение пропусковТекст → текст3 профессии

Дообученная модель ESM-2 для предсказания замаскированных аминокислот в пептидных последовательностях.

229скачиваний за 30 дней0лайковвеса обновлены24 мар 2026

Бенчмарки

Как модель справилась с задачами пользователей ailist и что о ней публикуют открытые лидерборды

Публичные оценки

Из открытых лидербордов. Сравнивайте результаты одного теста при одинаковых условиях — отсутствие оценки не значит, что модель хуже.

В подключённых источниках результатов для этой модели пока нет.

Что умеет модель

Описание составлено по карточке модели и метаданным Hugging Face

jiahuizhang/esm-150m-peptide-fine-tune — дообученная модель семейства ESM-2 для работы с последовательностями пептидов. Она основана на facebook/esm2_t30_150M_UR50D и обучена на наборе из 2 миллионов пептидных последовательностей в рамках работы PepBenchmark: A Standardized Benchmark for Peptide Machine Learning. Модель содержит 196,6 млн параметров, использует архитектуру EsmForMaskedLM и рассчитана на контекст до 1026 токенов.

Основная задача модели — предсказание замаскированных аминокислот в последовательности пептида, что может быть полезно для анализа и исследования пептидных последовательностей. Она распространяется в формате safetensors по лицензии MIT. Карточка не сообщает о дополнительных задачах или специализированных ограничениях качества.

Сценарии применения

  • предсказание пропущенных аминокислот в пептидной последовательности
  • анализ пептидных последовательностей с маскированными позициями
  • исследование языковых представлений пептидов

Для каких профессий подходит3

Разделы каталога профессий, в задачах которых используется эта модель

Все профессии
IV.6Отраслевые задачиНаучные исследования, математика и новые материалыAI помогает формировать гипотезы, анализировать научные данные и ускорять открытие новых материалов и методов.39 задач4 120моделейII.10Разработка и данныеРазработка и эксплуатация AI/ML-системAI помогает создавать, оценивать, развёртывать и контролировать AI/ML-системы на всём жизненном цикле.30 задач49 000моделейII.8Разработка и данныеИнженерия данных и аналитикаAI помогает готовить надёжные данные и превращать их в понятную аналитику.22 задачи23 488моделей

Карточка модели

README от автора на Hugging Face, как он его опубликовал

Открыть на Hugging Face

This model is a fine-tuned version of facebook/esm2_t30_150M_UR50D, developed as part of the work presented in “PepBenchmark: A Standardized Benchmark for Peptide Machine Learning” (ICLR 2026). It is trained on a large-scale dataset of 2 million peptide sequences. (see https://huggingface.co/datasets/jiahuizhang/pepbenchmark_pretrain_data)

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0004
  • train_batch_size: 512
  • eval_batch_size: 512
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 4096
  • total_eval_batch_size: 4096
  • optimizer: Use adamw_torch with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2000
  • num_epochs: 500
  • run_name: fine1

Training results

The table below summarizes the training and validation performance at different checkpoints:

Training LossEpochStepValidation LossAccuracyPerplexity
2.35950.85035002.35490.288710.5375
2.32821.700710002.32940.296210.2723
2.31472.551015002.31570.300510.1320
2.30213.401420002.30620.303610.0361
2.29044.251725002.29590.30669.9330
2.27675.102030002.28610.30989.8365
2.26845.952435002.27350.31369.7136
2.25816.802740002.26630.31579.6435
2.25137.653145002.25870.31829.5710
2.248.503450002.25350.31999.5211
2.22889.353755002.24440.32249.4348
2.222810.204160002.24150.32339.4074
2.219411.054465002.23720.32489.3667
2.212511.904870002.23550.32569.3516
2.206712.755175002.22400.32919.2447
2.201713.605480002.22440.32859.2483
2.193714.455885002.22530.32849.2563
2.184515.306190002.21470.33209.1585
2.179416.156595002.21050.33289.1204
2.17717.0068100002.20790.33419.0967
2.17717.8571105002.20770.33409.0948
2.172718.7075110002.20420.33499.0630
2.167919.5578115002.20410.33559.0617
2.16320.4082120002.19990.33619.0240
2.155421.2585125002.19940.33659.0192
2.155622.1088130002.19570.33788.9860
2.151922.9592135002.19150.33898.9487
2.151723.8095140002.18960.33958.9319
2.14724.6599145002.18750.34018.9132
2.139225.5102150002.18560.34088.8964
2.136326.3605155002.18410.34128.8823
2.133227.2109160002.18470.34108.8881
2.133228.0612165002.18180.34218.8624
2.131428.9116170002.17750.34358.8240
2.128729.7619175002.17380.34458.7918
2.125330.6122180002.17670.34418.8171
2.117231.4626185002.17460.34448.7984
2.118532.3129190002.17280.34488.7829
2.110333.1633195002.17080.34588.7655
2.114934.0136200002.17060.34558.7632
2.108934.8639205002.16840.34628.7441
2.108835.7143210002.16950.34628.7543
2.105336.5646215002.16390.34778.7054
2.098337.4150220002.16380.34818.7039
2.096638.2653225002.16390.34798.7051
2.095539.1156230002.16620.34748.7252
2.099739.9660235002.15950.34928.6672
2.0940.8163240002.16020.34868.6729
2.09141.6667245002.15570.35058.6343
2.086842.5170250002.15850.34988.6581
2.085143.3673255002.15670.34948.6426
2.081944.2177260002.15950.34918.6667
2.079145.0680265002.15610.35028.6377
2.083745.9184270002.15230.35118.6044
2.081346.7687275002.15190.35148.6008
2.070747.6190280002.15130.35198.5964
2.073748.4694285002.14910.35328.5771
2.06649.3197290002.15130.35208.5964
2.064150.1701295002.14510.35398.5428
2.063951.0204300002.14970.35288.5823
2.064851.8707305002.14660.35378.5559
2.062352.7211310002.14490.35388.5410
2.056853.5714315002.14570.35368.5479
2.058854.4218320002.14380.35468.5316
2.052555.2721325002.14620.35398.5525
2.050456.1224330002.14170.35498.5140
2.054756.9728335002.14260.35488.5216
2.053157.8231340002.14070.35528.5053
2.048658.6735345002.13890.35608.4900
2.043659.5238350002.13850.35588.4865
2.038560.3741355002.14140.35558.5114
2.035861.2245360002.13830.35618.4851
2.042262.0748365002.13780.35678.4806
2.03962.9252370002.13780.35648.4804
2.03763.7755375002.13740.35648.4770
2.032464.6259380002.14040.35538.5027
2.032965.4762385002.13720.35678.4758
2.028166.3265390002.13900.35608.4905
2.021967.1769395002.13520.35718.4591
2.024968.0272400002.13360.35808.4454
2.026568.8776405002.13800.35708.4821
2.024469.7279410002.13520.35758.4590
2.019170.5782415002.13240.35828.4353
2.018271.4286420002.13230.35828.4345
2.013872.2789425002.13620.35748.4675
2.01273.1293430002.13550.35818.4611
2.016473.9796435002.13240.35858.4353
2.01374.8299440002.12890.35998.4053
2.011575.6803445002.12730.36018.3919
2.009476.5306450002.12770.36018.3956
2.00277.3810455002.12940.35988.4097
2.000478.2313460002.12890.35998.4056
1.999879.0816465002.12950.36018.4106
2.005179.9320470002.12890.36008.4054
2.000480.7823475002.12540.36078.3764
1.998481.6327480002.12670.36138.3870
1.996182.4830485002.12720.36048.3915
1.991983.3333490002.12440.36138.3678
1.986284.1837495002.12570.36098.3791
1.99385.0340500002.12310.36238.3571
1.991285.8844505002.12700.36038.3897
1.989286.7347510002.12290.36248.3552
1.986687.5850515002.12530.36158.3752
1.980388.4354520002.12300.36188.3565
1.981489.2857525002.12180.36268.3464
1.97890.1361530002.12090.36278.3382
1.984590.9864535002.12240.36218.3514
1.980591.8367540002.12030.36338.3337
1.977692.6871545002.12110.36328.3405
1.974693.5374550002.12180.36258.3461
1.968994.3878555002.12070.36258.3371
1.970795.2381560002.12140.36288.3430
1.969696.0884565002.12160.36248.3442
1.972696.9388570002.11790.36368.3135
1.971897.7891575002.12100.36298.3395
1.965298.6395580002.11800.36418.3145
1.965699.4898585002.11930.36378.3257
1.9599100.3401590002.12450.36208.3686
1.9572101.1905595002.12110.36318.3407
1.9631102.0408600002.11810.36408.3153
1.9614102.8912605002.11880.36378.3213
1.9601103.7415610002.11840.36368.3180
1.9583104.5918615002.11840.36398.3179
1.9525105.4422620002.11830.36418.3168
1.9486106.2925625002.11580.36508.2959
1.948107.1429630002.11840.36428.3177
1.9561107.9932635002.11620.36438.2993
1.9498108.8435640002.11570.36528.2951
1.9515109.6939645002.11800.36428.3146
1.9457110.5442650002.11530.36548.2918
1.9408111.3946655002.11610.36518.2986
1.9368112.2449660002.11470.36588.2869
1.9399113.0952665002.11600.36478.2978
1.9439113.9456670002.11700.36478.3060
1.9413114.7959675002.11520.36518.2916
1.9423115.6463680002.11370.36638.2789
1.9358116.4966685002.11300.36668.2727
1.9329117.3469690002.11790.36468.3140
1.9263118.1973695002.11100.36698.2568
1.9347119.0476700002.11510.36618.2902
1.9313119.8980705002.11080.36638.2548
1.9333120.7483710002.11790.36508.3134
1.9285121.5986715002.11240.36658.2681
1.9262122.4490720002.11400.36668.2814
1.925123.2993725002.11480.36618.2882
1.9225124.1497730002.11500.36648.2894
1.9268125.0735002.11290.36658.2725
1.9238125.8503740002.11160.36718.2615
1.9216126.7007745002.11250.36668.2689
1.9185127.5510750002.11470.36668.2871
1.9176128.4014755002.11320.36698.2745
1.9118129.2517760002.11300.36658.2728
1.9144130.1020765002.11320.36708.2749
1.9187130.9524770002.11100.36768.2567
1.9154131.8027775002.11110.36748.2577
1.9124132.6531780002.11150.36738.2604
1.9078133.5034785002.10950.36798.2439
1.9047134.3537790002.11830.36608.3170
1.9018135.2041795002.10930.36868.2425
1.9032136.0544800002.11590.36758.2970
1.9088136.9048805002.11020.36788.2498
1.9031137.7551810002.11030.36838.2508
1.9028138.6054815002.11370.36768.2789
1.8975139.4558820002.11230.36768.2674
1.8978140.3061825002.10920.36818.2416
1.8938141.1565830002.11280.36808.2715
1.8987142.0068835002.11250.36858.2688
1.9001142.8571840002.10890.36868.2392
1.8946143.7075845002.11250.36808.2689
1.8939144.5578850002.11200.36808.2645
1.8847145.4082855002.11230.36788.2676
1.8897146.2585860002.10830.37028.2346
1.8878147.1088865002.11280.36778.2716
1.8914147.9592870002.11020.36878.2499
1.8907148.8095875002.11080.36858.2551
1.8876149.6599880002.11150.36858.2606
1.8834150.5102885002.11050.36858.2524
1.8811151.3605890002.11220.36838.2667
1.8788152.2109895002.11050.36898.2521
1.8799153.0612900002.11000.36948.2480
1.8832153.9116905002.11220.36848.2663
1.8825154.7619910002.10880.36998.2382
1.8798155.6122915002.11290.36848.2720
1.8754156.4626920002.11450.36818.2858
1.8688157.3129925002.11250.36858.2691
1.8667158.1633930002.10920.36908.2415
1.8739159.0136935002.10830.36998.2340
1.877159.8639940002.10720.37018.2249
1.8724160.7143945002.10700.36988.2232
1.8701161.5646950002.10970.36948.2457
1.8666162.4150955002.11710.36878.3068
1.8624163.2653960002.11090.36908.2560
1.8639164.1156965002.10920.37048.2413
1.8715164.9660970002.10630.37048.2181
1.8655165.8163975002.11400.36898.2811
1.8648166.6667980002.11460.36858.2864
1.8622167.5170985002.10750.37038.2276
1.8577168.3673990002.11590.36858.2971
1.8524169.2177995002.11360.36918.2781
1.8578170.06801000002.11650.36858.3019
1.862170.91841005002.11050.36988.2526
1.8583171.76871010002.10750.37078.2277
1.8542172.61901015002.11050.37018.2524
1.8495173.46941020002.10910.37008.2407
1.8489174.31971025002.10970.37048.2459
1.8474175.17011030002.11400.37008.2811
1.8501176.02041035002.11170.37068.2626
1.855176.87071040002.11050.37048.2521
1.8517177.72111045002.10780.37148.2303
1.8475178.57141050002.11550.36928.2935
1.8432179.42181055002.11050.37038.2527
1.8394180.27211060002.11440.36968.2848
1.8362181.12241065002.11280.37068.2713
1.8461181.97281070002.11000.37028.2481
1.8433182.82311075002.11080.37058.2551
1.8408183.67351080002.11590.36918.2969
1.8392184.52381085002.10960.37148.2452
1.8357185.37411090002.11030.37068.2506
1.8301186.22451095002.11540.36968.2931
1.8364187.07481100002.11180.37108.2630
1.8351187.92521105002.11180.37098.2634
1.8357188.77551110002.11300.37078.2733
1.8325189.62591115002.11120.37088.2585
1.8318190.47621120002.11480.37098.2878
1.8255191.32651125002.11140.37178.2599
1.8257192.17691130002.11500.37018.2893
1.8291193.02721135002.11300.37168.2728
1.8291193.87761140002.11390.37028.2807
1.8243194.72791145002.11190.37128.2641
1.822195.57821150002.11390.37088.2805
1.8247196.42861155002.11010.37128.2489
1.8131197.27891160002.11040.37148.2514
1.8179198.12931165002.11810.37008.3157
1.8247198.97961170002.11380.37088.2796
1.8214199.82991175002.11170.37138.2621
1.819200.68031180002.11180.37238.2630
1.8132201.53061185002.10820.37218.2334
1.8132202.38101190002.11750.37088.3100
1.8071203.23131195002.11300.37178.2734
1.8092204.08161200002.11570.37078.2957
1.8182204.93201205002.11220.37188.2666
1.8092205.78231210002.11520.37188.2912
1.8083206.63271215002.11240.37178.2681
1.8082207.48301220002.11580.37048.2962
1.8059208.33331225002.11640.37128.3012
1.8013209.18371230002.11390.37128.2806
1.8059210.03401235002.11410.37178.2824
1.8069210.88441240002.11330.37148.2757
1.8025211.73471245002.11350.37178.2772
1.8068212.58501250002.11970.37048.3288
1.7934213.43541255002.11490.37178.2888
1.7957214.28571260002.11220.37248.2666
1.7929215.13611265002.12030.37088.3334
1.8042215.98641270002.11570.37138.2952
1.7988216.83671275002.11520.37168.2912
1.7987217.68711280002.11490.37148.2884
1.7944218.53741285002.11410.37208.2825
1.7933219.38781290002.11650.37198.3019
1.7884220.23811295002.11370.37248.2785
1.7935221.08841300002.11220.37288.2664
1.7923221.93881305002.11340.37238.2760
1.7949222.78911310002.11730.37188.3090
1.7901223.63951315002.11550.37208.2934
1.7888224.48981320002.12020.37148.3331
1.7841225.34011325002.12160.37108.3448
1.7818226.19051330002.11960.37088.3277
1.7889227.04081335002.11980.37178.3291
1.7913227.89121340002.11580.37148.2966
1.7833228.74151345002.11770.37238.3118
1.7866229.59181350002.11830.37178.3174
1.7793230.44221355002.11920.37178.3241
1.779231.29251360002.12280.37108.3545
1.7758232.14291365002.12460.37188.3695
1.7818232.99321370002.11460.37308.2867
1.7815233.84351375002.11660.37208.3025
1.7783234.69391380002.11550.37368.2933
1.7732235.54421385002.11910.37238.3239
1.7699236.39461390002.12230.37088.3503
1.7695237.24491395002.12000.37178.3311
1.7714238.09521400002.11650.37358.3024
1.7747238.94561405002.11420.37338.2828
1.7749239.79591410002.11340.37418.2760
1.7701240.64631415002.11830.37238.3167
1.7688241.49661420002.11720.37218.3080
1.764242.34691425002.12430.37168.3672
1.7624243.19731430002.12310.37188.3568
1.7665244.04761435002.11870.37298.3200
1.7693244.89801440002.11860.37268.3192
1.7662245.74831445002.11340.37388.2764
1.7622246.59861450002.11730.37328.3088
1.7633247.44901455002.11890.37288.3217
1.7596248.29931460002.11890.37348.3217
1.7553249.14971465002.12370.37238.3619
1.7669250.01470002.12110.37328.3403
1.7612250.85031475002.11890.37278.3218
1.7573251.70071480002.12210.37258.3485
1.7585252.55101485002.12090.37338.3385
1.7533253.40141490002.12560.37298.3782
1.7514254.25171495002.12190.37328.3467
1.7504255.10201500002.12240.37238.3511
1.757255.95241505002.12100.37248.3396
1.7541256.80271510002.12510.37218.3737
1.7499257.65311515002.12520.37168.3747
1.7472258.50341520002.12570.37228.3790
1.7471259.35371525002.12370.37298.3619
1.7389260.20411530002.12220.37358.3491
1.7469261.05441535002.12260.37368.3529
1.7482261.90481540002.12510.37248.3741
1.7455262.75511545002.12360.37308.3612
1.7467263.60541550002.12730.37248.3925
1.7403264.45581555002.12290.37328.3554
1.7388265.30611560002.12370.37268.3617
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1.5392499.14972935002.20280.37469.0503
1.5349500.02940002.20560.37429.0761

Как запустить

На своей GPU в ailist. Цена — по текущим предложениям провайдеров

GPU в ailist

Универсальный рантайм · transformers · fill-mask

Можно запустить

Подбираем GPU…

Класс архитектуры
EsmForMaskedLM
Ревизия весов
6d8cebf

0 моделей

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