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Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-cssl-nps1nns3

sourceHugging Faceupdated 1y agoView on Hugging Face
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ht-stmini-cls-v6ftisnoPretrain-cssl-nps1nns3

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 18.9225
  • —Accuracy: 0.9405
  • —Macro F1: 0.8528

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: 0.0001
  • —trainbatchsize: 8
  • —evalbatchsize: 4
  • —seed: 42
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 6733
  • —training_steps: 134675

Training results

Training LossEpochStepValidation LossAccuracyMacro F1
26.86470.001520255.49660.02250.0155
9.24831.0015404121.07480.35630.0997
6.67012.0015606153.32190.52310.1305
5.49163.0015808131.96400.55880.1404
4.71684.0015101088.19050.59150.1473
3.96455.0015121268.14420.61040.1592
3.42776.0015141449.78850.60070.1553
3.14217.0015161635.47370.62700.1692
2.93298.0015181831.90720.62120.1737
2.79479.0015202022.85960.62350.1857
2.592510.0015222222.23090.62780.1877
2.485611.0015242417.10740.64610.2075
2.477712.0015262614.78420.65520.2285
2.333313.0015282815.20590.65860.2431
2.243714.0015303013.88920.66930.2707
2.122115.0015323214.15710.69170.2912
1.919416.0015343412.42440.70360.3182
1.942717.0015363612.16040.71930.3340
1.869818.0015383810.23860.73260.3615
1.768919.0015404012.67140.74230.3859
1.560620.0015424211.52030.74500.3894
1.583421.0015444411.31070.77650.4315
1.388122.0015464613.50440.77320.4383
1.34723.0015484811.77440.77690.4513
1.180424.0015505011.76180.78670.4718
1.352725.0015525213.50980.79540.4797
1.232226.0015545413.44350.80680.5028
1.093227.0015565613.23450.80730.5004
1.058928.0015585814.52190.81040.5087
1.066729.0015606017.04370.81290.5314
1.011730.0015626218.59000.79880.5150
0.914431.0015646419.01060.82710.5745
0.931132.0015666616.45300.82450.5540
0.803633.0015686817.47810.84760.5882
0.818434.0015707020.58450.84340.5854
0.743535.0015727221.04110.84990.6143
0.679836.0015747422.55220.86110.6409
0.702537.0015767621.65920.87390.6514
0.62638.0015787824.29720.87210.6610
0.585139.0015808024.19120.87420.6562
0.540340.0015828222.86760.87210.6645
0.543741.0015848423.81020.87570.6587
0.514142.0015868626.64720.88600.6830
0.47443.0015888823.68770.87480.6749
0.461444.0015909027.11100.89200.6960
0.374545.0015929229.82870.88260.6733
0.378846.0015949423.68450.89020.7008
0.372947.0015969628.53930.88550.6929
0.324748.0015989821.99490.89510.7127
0.323149.00151010027.80400.89680.7088
0.280650.00151030222.46850.89790.7250
0.266751.00151050421.86150.90350.7282
0.287152.00151070620.79510.89470.7139
0.301353.00151090823.82960.90620.7352
0.233654.00151111020.96120.90210.7354
0.22455.00151131225.49310.90660.7334
0.217756.00151151427.16300.90540.7366
0.193857.00151171621.67870.90560.7261
0.212858.00151191820.15270.90640.7386
0.176959.00151212022.92920.90310.7476
0.196760.00151232220.82350.91600.7579
0.185861.00151252419.20700.91600.7610
0.163962.00151272618.29070.91460.7611
0.16263.00151292817.48530.91680.7624
0.142464.00151313019.02930.91680.7664
0.143365.00151333217.59290.91670.7709
0.128766.00151353418.29240.91550.7707
0.153867.00151373616.99600.92010.7738
0.13168.00151393815.40650.91650.7661
0.130669.00151414016.72930.91430.7686
0.117370.00151434216.81510.91420.7726
0.102571.00151454417.59420.91880.7773
0.104472.00151474617.21790.92110.7805
0.119773.00151494815.86030.92250.7910
0.105574.00151515013.02980.92230.7835
0.111975.00151535215.43850.92470.7864
0.106276.00151555414.23980.92630.7962
0.090677.00151575617.89670.92510.7918
0.090778.00151595816.77050.92100.7922
0.097779.00151616015.24370.92780.7953
0.088580.00151636215.53480.92580.7951
0.083581.00151656415.58310.92630.7952
0.075682.00151676615.38670.92850.8037
0.081183.00151696813.26990.92630.8024
0.070284.00151717012.58210.92380.7844
0.07485.00151737213.39510.93100.8086
0.068286.00151757412.82960.92760.7985
0.074387.00151777612.48400.93210.8129
0.068288.00151797813.89280.92880.8049
0.063989.00151818017.47990.93130.8146
0.074590.00151838215.38710.93380.8214
0.056191.00151858414.80370.93250.8100
0.062692.00151878616.03670.93210.7977
0.056193.00151898815.59100.92940.8142
0.053794.00151919015.44960.93410.8174
0.057495.00151939216.82820.93220.8142
0.05296.00151959418.61930.93380.8190
0.051497.00151979617.97280.93720.8245
0.062698.00151999817.05150.93550.8255
0.06199.00152020017.22410.93200.7921
0.0487100.00152040214.34540.93060.8201
0.0499101.00152060414.51260.93650.8300
0.0489102.00152080616.43470.93140.8219
0.0465103.00152100815.54550.93380.8291
0.0433104.00152121013.57030.93610.8081
0.0468105.00152141215.92940.93780.8124
0.0475106.00152161415.17660.93650.8245
0.0406107.00152181615.30080.93400.8040
0.0498108.00152201815.71330.93850.8172
0.0438109.00152222017.06410.93490.8127
0.0372110.00152242214.77570.93400.8159
0.0398111.00152262414.40510.93740.8137
0.045112.00152282617.25410.93910.8169
0.0464113.00152302815.37760.93530.8065
0.0366114.00152323016.51250.93650.8133
0.0405115.00152343218.04530.93830.8148
0.0482116.00152363416.23100.93660.8330
0.0357117.00152383617.87170.93360.8092
0.0373118.00152403818.15030.93710.8373
0.0319119.00152424016.62490.93610.8335
0.041120.00152444219.10090.93740.8174
0.037121.00152464417.48920.93380.8136
0.0339122.00152484618.77110.93970.8415
0.0303123.00152504815.18470.93500.8324
0.0352124.00152525017.25950.93800.8222
0.0306125.00152545217.83480.93510.8191
0.0345126.00152565418.99030.93360.8118
0.0287127.00152585620.07660.93780.8221
0.0288128.00152605817.16000.93860.8261
0.0284129.00152626018.25650.93600.8240
0.0319130.00152646218.31160.93820.8136
0.0327131.00152666415.94380.93740.8161
0.0267132.00152686616.74170.93720.8379
0.0246133.00152706821.23400.93910.8195
0.0293134.00152727017.14220.93890.8389
0.0294135.00152747215.63830.94120.8213
0.0263136.00152767418.04310.94160.8259
0.0292137.00152787615.94780.94010.8444
0.0237138.00152807814.99650.94060.8286
0.0246139.00152828020.83280.94250.8336
0.0237140.00152848220.12710.93890.8279
0.027141.00152868417.09210.93730.8263
0.0263142.00152888618.79800.93380.8154
0.0292143.00152908817.21200.94230.8522
0.0239144.00152929019.36870.94050.8465
0.0259145.00152949217.44700.93910.8274
0.0229146.00152969417.41250.94030.8437
0.0317147.00152989619.92520.94120.8285
0.0218148.00153009814.92890.94200.8275
0.0237149.00153030018.39290.94140.8341
0.0234150.00153050219.49840.93850.8448
0.0223151.00153070419.49380.94050.8528
0.0221152.00153090618.38720.93980.8254
0.0219153.00153110816.81590.93800.8278
0.0231154.00153131018.07450.93820.8386
0.0219155.00153151218.91140.94460.8354
0.0193156.00153171415.20990.94120.8462
0.0205157.00153191622.11380.94030.8500
0.02158.00153211818.13790.94260.8338
0.0197159.00153232018.68370.94240.8346
0.0207160.00153252220.54840.94030.8332
0.0197161.00153272421.42450.93510.8239
0.0227162.00153292617.53690.94270.8302
0.0208163.00153312816.45320.94300.8381
0.0244164.00153333018.24600.94030.8296
0.0206165.00153353219.01370.94290.8431
0.0179166.00153373418.36600.93370.8493
0.0198167.00153393617.43180.94280.8361
0.0191168.00153413818.26830.94220.8375
0.0193169.00153434018.66080.94050.8358
0.0233170.00153454215.73780.94380.8522
0.023171.00153474417.35520.94160.8356

Framework versions

  • —Transformers 4.46.0
  • —Pytorch 2.3.1+cu121
  • —Datasets 2.20.0
  • —Tokenizers 0.20.1