CoolFace
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austindavis/chess-gpt2-uci-12x12x768

sourceHugging Faceupdated 1y agoView on Hugging Face
1likes18downloads
Model Card

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gpt2-lichess-uci-202306-12x12

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: 0.8365

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: 0.0002
  • —trainbatchsize: 6
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —num_epochs: 1

Training results

Training LossEpochStepValidation Loss
1.34380.0036150001.3198
1.23090.0072300001.2102
1.17380.0108450001.1595
1.13840.0144600001.1267
1.1150.0180750001.0988
1.09370.0216900001.0820
1.07860.02531050001.0670
1.06490.02891200001.0541
1.05460.03251350001.0429
1.04460.03611500001.0323
1.03880.03971650001.0247
1.0290.04331800001.0184
1.0220.04691950001.0127
1.01440.05052100001.0072
1.010.05412250001.0008
1.00690.05772400000.9964
1.00330.06132550000.9928
0.99880.06492700000.9867
0.99480.06852850000.9836
0.98920.07223000000.9803
0.98640.07583150000.9764
0.97980.07943300000.9733
0.98040.08303450000.9713
0.97760.08663600000.9684
0.97540.09023750000.9656
0.97360.09383900000.9639
0.96870.09744050000.9609
0.97150.10104200000.9592
0.96440.10464350000.9581
0.96290.10824500000.9550
0.96090.11184650000.9544
0.95890.11544800000.9511
0.95850.11904950000.9493
0.95730.12275100000.9491
0.95330.12635250000.9473
0.95580.12995400000.9453
0.94980.13355550000.9434
0.94870.13715700000.9415
0.94920.14075850000.9411
0.94750.14436000000.9390
0.94430.14796150000.9387
0.94580.15156300000.9372
0.94410.15516450000.9358
0.94380.15876600000.9350
0.94230.16236750000.9341
0.93830.16596900000.9321
0.93950.16967050000.9314
0.93790.17327200000.9301
0.93820.17687350000.9289
0.93740.18047500000.9284
0.93530.18407650000.9278
0.93250.18767800000.9270
0.9320.19127950000.9255
0.92890.19488100000.9250
0.93240.19848250000.9233
0.93030.20208400000.9230
0.92970.20568550000.9224
0.92790.20928700000.9223
0.92980.21288850000.9202
0.92520.21659000000.9195
0.92590.22019150000.9194
0.92550.22379300000.9186
0.92310.22739450000.9181
0.92580.23099600000.9165
0.92140.23459750000.9162
0.9240.23819900000.9161
0.92450.241710050000.9146
0.9190.245310200000.9147
0.92020.248910350000.9133
0.920.252510500000.9125
0.91610.256110650000.9128
0.91740.259710800000.9123
0.91760.263410950000.9107
0.91770.267011100000.9097
0.91780.270611250000.9098
0.91440.274211400000.9085
0.9160.277811550000.9091
0.9130.281411700000.9088
0.91350.285011850000.9075
0.91450.288612000000.9059
0.91130.292212150000.9064
0.91210.295812300000.9060
0.91080.299412450000.9052
0.9090.303012600000.9038
0.91270.306612750000.9040
0.91040.310312900000.9029
0.90970.313913050000.9036
0.90860.317513200000.9023
0.90780.321113350000.9016
0.90770.324713500000.9019
0.90580.328313650000.9010
0.90530.331913800000.9005
0.90690.335513950000.8995
0.90570.339114100000.8997
0.90370.342714250000.8988
0.90380.346314400000.8987
0.90290.349914550000.8979
0.90120.353514700000.8975
0.90030.357114850000.8977
0.90190.360815000000.8966
0.90180.364415150000.8964
0.90080.368015300000.8957
0.89970.371615450000.8951
0.89960.375215600000.8950
0.90.378815750000.8941
0.89890.382415900000.8934
0.89620.386016050000.8938
0.89620.389616200000.8936
0.89720.393216350000.8926
0.89850.396816500000.8915
0.89590.400416650000.8919
0.89660.404016800000.8911
0.89520.407716950000.8908
0.89490.411317100000.8897
0.89430.414917250000.8895
0.89210.418517400000.8892
0.89240.422117550000.8887
0.89260.425717700000.8880
0.89020.429317850000.8876
0.89310.432918000000.8871
0.89090.436518150000.8871
0.89040.440118300000.8863
0.88920.443718450000.8861
0.88860.447318600000.8854
0.88940.450918750000.8855
0.89080.454618900000.8852
0.88980.458219050000.8848
0.8860.461819200000.8842
0.88550.465419350000.8830
0.88660.469019500000.8825
0.88480.472619650000.8823
0.88350.476219800000.8825
0.88690.479819950000.8814
0.8850.483420100000.8814
0.88690.487020250000.8812
0.88420.490620400000.8804
0.88650.494220550000.8804
0.88370.497820700000.8799
0.87990.501520850000.8798
0.88240.505121000000.8784
0.88210.508721150000.8786
0.88020.512321300000.8779
0.88110.515921450000.8778
0.88050.519521600000.8774
0.88370.523121750000.8765
0.880.526721900000.8764
0.87940.530322050000.8760
0.88050.533922200000.8754
0.87680.537522350000.8757
0.87630.541122500000.8743
0.87620.544722650000.8746
0.87860.548422800000.8748
0.87720.552022950000.8735
0.87580.555623100000.8728
0.8740.559223250000.8724
0.87520.562823400000.8722
0.87480.566423550000.8712
0.87490.570023700000.8714
0.8740.573623850000.8707
0.87280.577224000000.8702
0.87420.580824150000.8701
0.86830.584424300000.8696
0.86930.588024450000.8695
0.87170.591624600000.8684
0.86970.595224750000.8682
0.87340.598924900000.8675
0.870.602525050000.8672
0.87140.606125200000.8669
0.86710.609725350000.8661
0.86810.613325500000.8661
0.86890.616925650000.8658
0.86550.620525800000.8652
0.86670.624125950000.8646
0.86760.627726100000.8647
0.86710.631326250000.8638
0.86650.634926400000.8632
0.8650.638526550000.8632
0.86480.642126700000.8627
0.86460.645826850000.8616
0.86210.649427000000.8619
0.86310.653027150000.8621
0.86230.656627300000.8609
0.86230.660227450000.8606
0.86250.663827600000.8602
0.86370.667427750000.8595
0.86250.671027900000.8594
0.86270.674628050000.8587
0.86060.678228200000.8584
0.86070.681828350000.8578
0.86090.685428500000.8575
0.85770.689028650000.8570
0.85670.692728800000.8567
0.85870.696328950000.8560
0.85580.699929100000.8561
0.85390.703529250000.8556
0.85760.707129400000.8553
0.85550.710729550000.8546
0.85580.714329700000.8545
0.85820.717929850000.8539
0.85440.721530000000.8540
0.85410.725130150000.8536
0.85590.728730300000.8531
0.85210.732330450000.8526
0.85290.735930600000.8521
0.85380.739630750000.8515
0.85210.743230900000.8512
0.85120.746831050000.8507
0.85030.750431200000.8503
0.85340.754031350000.8503
0.85340.757631500000.8501
0.84880.761231650000.8494
0.850.764831800000.8490
0.84830.768431950000.8488
0.84810.772032100000.8484
0.85160.775632250000.8480
0.84830.779232400000.8476
0.85040.782832550000.8471
0.84850.786532700000.8469
0.84610.790132850000.8465
0.84580.793733000000.8460
0.84670.797333150000.8460
0.8470.800933300000.8454
0.84790.804533450000.8451
0.84410.808133600000.8447
0.84650.811733750000.8444
0.84310.815333900000.8444
0.84530.818934050000.8436
0.84530.822534200000.8436
0.84440.826134350000.8435
0.84250.829734500000.8430
0.84520.833334650000.8429
0.84230.837034800000.8427
0.84230.840634950000.8419
0.84240.844235100000.8416
0.84620.847835250000.8417
0.84140.851435400000.8413
0.84350.855035550000.8415
0.84280.858635700000.8410
0.83960.862235850000.8405
0.84160.865836000000.8403
0.84080.869436150000.8400
0.83920.873036300000.8400
0.84040.876636450000.8396
0.8380.880236600000.8396
0.84010.883936750000.8392
0.840.887536900000.8391
0.84010.891137050000.8389
0.8410.894737200000.8389
0.83890.898337350000.8386
0.83840.901937500000.8385
0.83750.905537650000.8384
0.83910.909137800000.8381
0.83710.912737950000.8381
0.83870.916338100000.8379
0.83750.919938250000.8377
0.83760.923538400000.8375
0.83770.927138550000.8374
0.83830.930838700000.8373
0.83680.934438850000.8373
0.83850.938039000000.8372
0.83690.941639150000.8372
0.83640.945239300000.8370
0.83810.948839450000.8369
0.83690.952439600000.8368
0.83780.956039750000.8367
0.83410.959639900000.8367
0.83650.963240050000.8367
0.83960.966840200000.8367
0.83450.970440350000.8366
0.83750.974040500000.8366
0.83680.977740650000.8366
0.83720.981340800000.8366
0.83930.984940950000.8365
0.8360.988541100000.8365
0.83690.992141250000.8365
0.83490.995741400000.8365
0.83830.999341550000.8365

Framework versions

  • —Transformers 4.40.1
  • —Pytorch 2.3.0
  • —Datasets 2.19.1
  • —Tokenizers 0.19.1