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xlnet-base-cased_crows_pairs_finetuned

This model is a fine-tuned version of xlnet-base-cased on the crows_pairs dataset. It achieves the following results on the evaluation set:

  • Loss: 2.5652
  • Accuracy: 0.7119

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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.728 0.53 10 0.6939 0.4901
0.6914 1.05 20 0.6939 0.4901
0.705 1.58 30 0.6925 0.5066
0.6993 2.11 40 0.6949 0.5066
0.6979 2.63 50 0.6996 0.5066
0.7152 3.16 60 0.6940 0.4901
0.7158 3.68 70 0.7007 0.4934
0.6968 4.21 80 0.6999 0.5066
0.7164 4.74 90 0.6977 0.4934
0.6698 5.26 100 0.7079 0.4536
0.611 5.79 110 0.8882 0.5099
0.6487 6.32 120 0.8360 0.5066
0.5223 6.84 130 0.8047 0.5728
0.2879 7.37 140 1.1483 0.5795
0.2369 7.89 150 1.1773 0.5993
0.2542 8.42 160 0.9170 0.6424
0.1743 8.95 170 1.3674 0.6424
0.1307 9.47 180 1.0740 0.7152
0.0718 10.0 190 1.4397 0.6424
0.0278 10.53 200 1.9821 0.6523
0.0519 11.05 210 1.6970 0.6755
0.0269 11.58 220 1.8299 0.6656
0.0556 12.11 230 1.9459 0.7086
0.0455 12.63 240 1.6443 0.6854
0.0665 13.16 250 1.9887 0.6821
0.009 13.68 260 2.0236 0.6788
0.0146 14.21 270 1.8515 0.7152
0.0034 14.74 280 1.9315 0.7252
0.0248 15.26 290 2.0754 0.7119
0.0536 15.79 300 2.0371 0.7053
0.0393 16.32 310 1.9381 0.6987
0.0255 16.84 320 1.9074 0.6788
0.0116 17.37 330 2.2182 0.6623
0.0128 17.89 340 2.3002 0.6689
0.0006 18.42 350 2.2353 0.6788
0.0053 18.95 360 2.4277 0.6755
0.0013 19.47 370 2.5156 0.6490
0.0004 20.0 380 2.5091 0.6689
0.0003 20.53 390 2.4096 0.6854
0.0017 21.05 400 2.3497 0.6921
0.0001 21.58 410 2.3376 0.6854
0.012 22.11 420 2.3832 0.6854
0.0002 22.63 430 2.4388 0.7053
0.0001 23.16 440 2.4821 0.7152
0.0001 23.68 450 2.5027 0.7119
0.0001 24.21 460 2.5105 0.7152
0.0001 24.74 470 2.5145 0.7152
0.0002 25.26 480 2.5143 0.6954
0.0001 25.79 490 2.5629 0.6821
0.0002 26.32 500 2.5414 0.6887
0.0001 26.84 510 2.5301 0.7119
0.0012 27.37 520 2.5360 0.7020
0.0 27.89 530 2.5428 0.6921
0.0117 28.42 540 2.5455 0.6954
0.0001 28.95 550 2.5598 0.7086
0.0001 29.47 560 2.5648 0.7119
0.0001 30.0 570 2.5652 0.7119

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1
  • Datasets 2.10.1
  • Tokenizers 0.13.2
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Dataset used to train henryscheible/xlnet-base-cased_crows_pairs_finetuned

Evaluation results