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cifar10_resnet-34

jialicheng / cifar10_resnet-34

Run on huggingface.co
huggingface.co
Total runs: 8
24-hour runs: 0
7-day runs: -1
30-day runs: 0
Model's Last Updated: September 21 2025
image-classification

Introduction of cifar10_resnet-34

Model Details of cifar10_resnet-34

resnet-34

This model is a fine-tuned version of microsoft/resnet-34 on the cifar10 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1354
  • Accuracy: 0.9649
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: 1e-05
  • train_batch_size: 128
  • eval_batch_size: 256
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 300
Training results
Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 333 1.2397 0.6286
1.7252 2.0 666 0.6236 0.8451
1.7252 3.0 999 0.3775 0.9051
0.9349 4.0 1332 0.2880 0.9237
0.6819 5.0 1665 0.2449 0.9302
0.6819 6.0 1998 0.2174 0.9384
0.5874 7.0 2331 0.2000 0.9418
0.5334 8.0 2664 0.1854 0.943
0.5334 9.0 2997 0.1676 0.948
0.4936 10.0 3330 0.1612 0.9511
0.4674 11.0 3663 0.1570 0.9503
0.4674 12.0 3996 0.1546 0.9492
0.4498 13.0 4329 0.1437 0.9516
0.4216 14.0 4662 0.1421 0.9542
0.4216 15.0 4995 0.1383 0.954
0.4139 16.0 5328 0.1390 0.9565
0.3961 17.0 5661 0.1321 0.9562
0.3961 18.0 5994 0.1288 0.9588
0.3812 19.0 6327 0.1319 0.9578
0.3696 20.0 6660 0.1291 0.959
0.3696 21.0 6993 0.1314 0.9571
0.3648 22.0 7326 0.1293 0.9574
0.3523 23.0 7659 0.1285 0.9588
0.3523 24.0 7992 0.1245 0.9602
0.3424 25.0 8325 0.1234 0.9606
0.3316 26.0 8658 0.1190 0.9623
0.3316 27.0 8991 0.1215 0.9603
0.3295 28.0 9324 0.1194 0.9626
0.3188 29.0 9657 0.1189 0.9622
0.3188 30.0 9990 0.1181 0.9628
0.316 31.0 10323 0.1191 0.963
0.3062 32.0 10656 0.1215 0.9621
0.3062 33.0 10989 0.1228 0.9607
0.2988 34.0 11322 0.1177 0.9638
0.2973 35.0 11655 0.1189 0.9624
0.2973 36.0 11988 0.1187 0.962
0.3003 37.0 12321 0.1177 0.9632
0.2873 38.0 12654 0.1248 0.9612
0.2873 39.0 12987 0.1266 0.961
0.2823 40.0 13320 0.1221 0.9638
0.28 41.0 13653 0.1274 0.9588
0.28 42.0 13986 0.1231 0.9637
0.2737 43.0 14319 0.1212 0.9632
0.2718 44.0 14652 0.1204 0.9655
0.2718 45.0 14985 0.1199 0.9649
0.2716 46.0 15318 0.1212 0.964
0.2631 47.0 15651 0.1231 0.9628
0.2631 48.0 15984 0.1204 0.9646
0.2609 49.0 16317 0.1212 0.9644
0.2594 50.0 16650 0.1246 0.9633
0.2594 51.0 16983 0.1217 0.9652
0.2551 52.0 17316 0.1222 0.9637
0.2558 53.0 17649 0.1192 0.9652
0.2558 54.0 17982 0.1256 0.9635
0.2432 55.0 18315 0.1214 0.9641
0.2481 56.0 18648 0.1272 0.9621
0.2481 57.0 18981 0.1217 0.9646
0.2432 58.0 19314 0.1213 0.9647
0.2404 59.0 19647 0.1243 0.9649
0.2404 60.0 19980 0.1212 0.9648
0.2391 61.0 20313 0.1221 0.9659
0.242 62.0 20646 0.1241 0.9637
0.242 63.0 20979 0.1219 0.9642
0.2341 64.0 21312 0.1270 0.9641
0.2299 65.0 21645 0.1237 0.964
0.2299 66.0 21978 0.1223 0.9632
0.2374 67.0 22311 0.1205 0.9653
0.2328 68.0 22644 0.1185 0.9652
0.2328 69.0 22977 0.1234 0.9635
0.2331 70.0 23310 0.1213 0.9648
0.231 71.0 23643 0.1232 0.9636
0.231 72.0 23976 0.1215 0.9646
0.2242 73.0 24309 0.1178 0.9666
0.2245 74.0 24642 0.1229 0.9639
0.2245 75.0 24975 0.1218 0.9649
0.2256 76.0 25308 0.1259 0.964
0.2199 77.0 25641 0.1251 0.9652
0.2199 78.0 25974 0.1280 0.9637
0.2211 79.0 26307 0.1237 0.9645
0.2208 80.0 26640 0.1241 0.9664
0.2208 81.0 26973 0.1236 0.9642
0.2108 82.0 27306 0.1240 0.9658
0.2179 83.0 27639 0.1207 0.9668
0.2179 84.0 27972 0.1223 0.9656
0.2172 85.0 28305 0.1225 0.9662
0.2159 86.0 28638 0.1289 0.9643
0.2159 87.0 28971 0.1235 0.9669
0.2087 88.0 29304 0.1304 0.9618
0.2065 89.0 29637 0.1250 0.9645
0.2065 90.0 29970 0.1239 0.9649
0.2095 91.0 30303 0.1221 0.9665
0.2097 92.0 30636 0.1226 0.9663
0.2097 93.0 30969 0.1224 0.9661
0.2066 94.0 31302 0.1273 0.964
0.206 95.0 31635 0.1269 0.9648
0.206 96.0 31968 0.1308 0.9652
0.2049 97.0 32301 0.1279 0.9644
0.2031 98.0 32634 0.1299 0.9653
0.2031 99.0 32967 0.1392 0.9618
0.2064 100.0 33300 0.1282 0.965
0.1965 101.0 33633 0.1306 0.9648
0.1965 102.0 33966 0.1294 0.9643
0.2059 103.0 34299 0.1272 0.9641
0.1974 104.0 34632 0.1306 0.9654
0.1974 105.0 34965 0.1313 0.9629
0.2012 106.0 35298 0.1285 0.965
0.1943 107.0 35631 0.1352 0.9643
0.1943 108.0 35964 0.1304 0.9642
0.1992 109.0 36297 0.1319 0.9653
0.1971 110.0 36630 0.1280 0.9651
0.1971 111.0 36963 0.1324 0.9647
0.1996 112.0 37296 0.1258 0.9669
0.1909 113.0 37629 0.1284 0.9641
0.1909 114.0 37962 0.1277 0.9676
0.1892 115.0 38295 0.1312 0.9636
0.1908 116.0 38628 0.1323 0.9631
0.1908 117.0 38961 0.1310 0.9643
0.1914 118.0 39294 0.1322 0.9626
0.1958 119.0 39627 0.1320 0.9642
0.1958 120.0 39960 0.1318 0.9647
0.1866 121.0 40293 0.1291 0.965
0.1849 122.0 40626 0.1258 0.9649
0.1849 123.0 40959 0.1302 0.9643
0.1865 124.0 41292 0.1291 0.9648
0.1896 125.0 41625 0.1304 0.9658
0.1896 126.0 41958 0.1301 0.9655
0.1849 127.0 42291 0.1360 0.9645
0.1885 128.0 42624 0.1352 0.9637
0.1885 129.0 42957 0.1350 0.9644
0.1867 130.0 43290 0.1321 0.965
0.1807 131.0 43623 0.1350 0.9643
0.1807 132.0 43956 0.1270 0.9661
0.1892 133.0 44289 0.1327 0.9641
0.1795 134.0 44622 0.1340 0.9641
0.1795 135.0 44955 0.1330 0.9639
0.1832 136.0 45288 0.1332 0.9631
0.1808 137.0 45621 0.1304 0.964
0.1808 138.0 45954 0.1325 0.9637
0.1817 139.0 46287 0.1239 0.9651
0.1816 140.0 46620 0.1378 0.9624
0.1816 141.0 46953 0.1262 0.9656
0.1804 142.0 47286 0.1298 0.9636
0.1724 143.0 47619 0.1312 0.9632
0.1724 144.0 47952 0.1350 0.9628
0.1761 145.0 48285 0.1333 0.9643
0.177 146.0 48618 0.1283 0.9645
0.177 147.0 48951 0.1339 0.9631
0.1763 148.0 49284 0.1333 0.9634
0.1722 149.0 49617 0.1315 0.9637
0.1722 150.0 49950 0.1298 0.964
0.1772 151.0 50283 0.1305 0.9641
0.1772 152.0 50616 0.1327 0.9648
0.1772 153.0 50949 0.1296 0.9652
0.1741 154.0 51282 0.1311 0.9638
0.1735 155.0 51615 0.1368 0.9632
0.1735 156.0 51948 0.1309 0.9653
0.1747 157.0 52281 0.1376 0.9638
0.1682 158.0 52614 0.1366 0.9624
0.1682 159.0 52947 0.1338 0.9646
0.1729 160.0 53280 0.1333 0.9639
0.1703 161.0 53613 0.1353 0.9642
0.1703 162.0 53946 0.1289 0.9652
0.1748 163.0 54279 0.1340 0.9653
0.1723 164.0 54612 0.1370 0.963
0.1723 165.0 54945 0.1323 0.9655
0.1714 166.0 55278 0.1324 0.9648
0.1674 167.0 55611 0.1335 0.9634
0.1674 168.0 55944 0.1328 0.9643
0.1664 169.0 56277 0.1336 0.9648
0.1715 170.0 56610 0.1366 0.9636
0.1715 171.0 56943 0.1349 0.9649
0.1683 172.0 57276 0.1386 0.9635
0.1625 173.0 57609 0.1325 0.9639
0.1625 174.0 57942 0.1354 0.9648
0.1642 175.0 58275 0.1331 0.9637
0.1713 176.0 58608 0.1391 0.9622
0.1713 177.0 58941 0.1359 0.9634
0.1612 178.0 59274 0.1350 0.9633
0.1621 179.0 59607 0.1337 0.9643
0.1621 180.0 59940 0.1331 0.9645
0.1704 181.0 60273 0.1334 0.964
0.1664 182.0 60606 0.1376 0.9642
0.1664 183.0 60939 0.1347 0.9633
0.1664 184.0 61272 0.1357 0.964
0.1637 185.0 61605 0.1340 0.9645
0.1637 186.0 61938 0.1359 0.9642
0.1629 187.0 62271 0.1364 0.9649
0.1611 188.0 62604 0.1404 0.9618
0.1611 189.0 62937 0.1368 0.9622
0.1654 190.0 63270 0.1362 0.9645
0.1632 191.0 63603 0.1388 0.9651
0.1632 192.0 63936 0.1387 0.9634
0.165 193.0 64269 0.1360 0.9643
0.166 194.0 64602 0.1349 0.9653
0.166 195.0 64935 0.1390 0.9629
0.157 196.0 65268 0.1364 0.9651
0.1573 197.0 65601 0.1406 0.9625
0.1573 198.0 65934 0.1358 0.9644
0.1633 199.0 66267 0.1323 0.9652
0.1605 200.0 66600 0.1390 0.965
0.1605 201.0 66933 0.1335 0.9658
0.1597 202.0 67266 0.1361 0.9651
0.1599 203.0 67599 0.1407 0.9642
0.1599 204.0 67932 0.1366 0.964
0.1651 205.0 68265 0.1394 0.9636
0.1589 206.0 68598 0.1332 0.9634
0.1589 207.0 68931 0.1290 0.9653
0.1689 208.0 69264 0.1343 0.9631
0.1545 209.0 69597 0.1352 0.9633
0.1545 210.0 69930 0.1375 0.9632
0.1614 211.0 70263 0.1347 0.965
0.1601 212.0 70596 0.1324 0.9648
0.1601 213.0 70929 0.1353 0.9643
0.1602 214.0 71262 0.1335 0.965
0.159 215.0 71595 0.1342 0.9638
0.159 216.0 71928 0.1373 0.9639
0.1601 217.0 72261 0.1352 0.9634
0.1576 218.0 72594 0.1362 0.9629
0.1576 219.0 72927 0.1321 0.9643
0.1607 220.0 73260 0.1349 0.9639
0.1528 221.0 73593 0.1363 0.9642
0.1528 222.0 73926 0.1333 0.9649
0.1585 223.0 74259 0.1351 0.9646
0.1563 224.0 74592 0.1414 0.9631
0.1563 225.0 74925 0.1325 0.9645
0.1488 226.0 75258 0.1346 0.9643
0.152 227.0 75591 0.1337 0.9652
0.152 228.0 75924 0.1362 0.9652
0.156 229.0 76257 0.1371 0.9636
0.1494 230.0 76590 0.1365 0.9639
0.1494 231.0 76923 0.1357 0.965
0.1507 232.0 77256 0.1339 0.9644
0.153 233.0 77589 0.1411 0.9629
0.153 234.0 77922 0.1326 0.9642
0.153 235.0 78255 0.1356 0.9637
0.148 236.0 78588 0.1351 0.9639
0.148 237.0 78921 0.1355 0.964
0.16 238.0 79254 0.1384 0.9632
0.1552 239.0 79587 0.1417 0.9625
0.1552 240.0 79920 0.1400 0.9633
0.1536 241.0 80253 0.1372 0.9634
0.1511 242.0 80586 0.1376 0.965
0.1511 243.0 80919 0.1374 0.963
0.1526 244.0 81252 0.1391 0.9643
0.1488 245.0 81585 0.1360 0.9634
0.1488 246.0 81918 0.1385 0.9629
0.1588 247.0 82251 0.1344 0.9646
0.1494 248.0 82584 0.1349 0.9643
0.1494 249.0 82917 0.1326 0.9651
0.1493 250.0 83250 0.1316 0.9656
0.1518 251.0 83583 0.1393 0.964
0.1518 252.0 83916 0.1374 0.9642
0.1493 253.0 84249 0.1365 0.9648
0.1483 254.0 84582 0.1360 0.9636
0.1483 255.0 84915 0.1360 0.9659
0.1498 256.0 85248 0.1381 0.9645
0.1533 257.0 85581 0.1342 0.9642
0.1533 258.0 85914 0.1355 0.965
0.153 259.0 86247 0.1329 0.9655
0.1517 260.0 86580 0.1300 0.9657
0.1517 261.0 86913 0.1331 0.9643
0.1525 262.0 87246 0.1322 0.965
0.1489 263.0 87579 0.1342 0.9659
0.1489 264.0 87912 0.1363 0.9648
0.1491 265.0 88245 0.1364 0.9664
0.1529 266.0 88578 0.1308 0.9654
0.1529 267.0 88911 0.1319 0.9651
0.1507 268.0 89244 0.1338 0.9639
0.1519 269.0 89577 0.1348 0.9655
0.1519 270.0 89910 0.1319 0.9648
0.1503 271.0 90243 0.1342 0.9646
0.1532 272.0 90576 0.1351 0.9646
0.1532 273.0 90909 0.1342 0.9642
0.1551 274.0 91242 0.1335 0.9653
0.1515 275.0 91575 0.1351 0.9638
0.1515 276.0 91908 0.1326 0.9649
0.1475 277.0 92241 0.1320 0.9649
0.15 278.0 92574 0.1338 0.9658
0.15 279.0 92907 0.1339 0.9653
0.1506 280.0 93240 0.1330 0.9655
0.1507 281.0 93573 0.1336 0.9653
0.1507 282.0 93906 0.1331 0.9647
0.1482 283.0 94239 0.1350 0.9659
0.147 284.0 94572 0.1324 0.9655
0.147 285.0 94905 0.1346 0.9652
0.1467 286.0 95238 0.1363 0.9642
0.1477 287.0 95571 0.1307 0.9654
0.1477 288.0 95904 0.1333 0.9642
0.1471 289.0 96237 0.1334 0.9648
0.1451 290.0 96570 0.1327 0.9648
0.1451 291.0 96903 0.1319 0.9647
0.1478 292.0 97236 0.1356 0.9647
0.1481 293.0 97569 0.1320 0.9658
0.1481 294.0 97902 0.1326 0.9645
0.1425 295.0 98235 0.1340 0.965
0.1465 296.0 98568 0.1338 0.9638
0.1465 297.0 98901 0.1320 0.9651
0.1474 298.0 99234 0.1350 0.9635
0.1496 299.0 99567 0.1352 0.965
0.1496 300.0 99900 0.1354 0.9649
Framework versions
  • Transformers 4.39.3
  • Pytorch 2.2.2+cu118
  • Datasets 2.18.0
  • Tokenizers 0.15.2

Runs of jialicheng cifar10_resnet-34 on huggingface.co

8
Total runs
0
24-hour runs
-1
3-day runs
-1
7-day runs
0
30-day runs

More Information About cifar10_resnet-34 huggingface.co Model

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cifar10_resnet-34 huggingface.co is an AI model on huggingface.co that provides cifar10_resnet-34's model effect (), which can be used instantly with this jialicheng cifar10_resnet-34 model. huggingface.co supports a free trial of the cifar10_resnet-34 model, and also provides paid use of the cifar10_resnet-34. Support call cifar10_resnet-34 model through api, including Node.js, Python, http.

cifar10_resnet-34 huggingface.co Url

https://huggingface.co/jialicheng/cifar10_resnet-34

jialicheng cifar10_resnet-34 online free

cifar10_resnet-34 huggingface.co is an online trial and call api platform, which integrates cifar10_resnet-34's modeling effects, including api services, and provides a free online trial of cifar10_resnet-34, you can try cifar10_resnet-34 online for free by clicking the link below.

jialicheng cifar10_resnet-34 online free url in huggingface.co:

https://huggingface.co/jialicheng/cifar10_resnet-34

cifar10_resnet-34 install

cifar10_resnet-34 is an open source model from GitHub that offers a free installation service, and any user can find cifar10_resnet-34 on GitHub to install. At the same time, huggingface.co provides the effect of cifar10_resnet-34 install, users can directly use cifar10_resnet-34 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

cifar10_resnet-34 install url in huggingface.co:

https://huggingface.co/jialicheng/cifar10_resnet-34

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