Erland / result_xlmr_siqa

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Total runs: 9
24-hour runs: 0
7-day runs: 0
30-day runs: -2
Model's Last Updated: October 05 2023
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Introduction of result_xlmr_siqa

Model Details of result_xlmr_siqa

result_xlmr_siqa

This model is a fine-tuned version of xlm-roberta-large on the super_glue dataset. It trained first on SIQA dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4143
  • Accuracy: 0.79
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: 8
  • eval_batch_size: 8
  • seed: 44
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss Accuracy
0.0152 0.2 10 1.0207 0.77
0.001 0.4 20 0.7651 0.82
0.0013 0.6 30 0.7756 0.79
0.0012 0.8 40 1.2054 0.8
0.0005 1.0 50 1.3034 0.79
0.0008 1.2 60 1.1920 0.76
0.0138 1.4 70 0.9139 0.76
0.0003 1.6 80 0.9160 0.78
0.0001 1.8 90 1.1525 0.8
0.0085 2.0 100 0.8657 0.79
0.0033 2.2 110 0.8925 0.79
0.0055 2.4 120 1.2264 0.78
0.0014 2.6 130 1.4958 0.8
0.0031 2.8 140 1.4250 0.79
0.0138 3.0 150 1.4240 0.81
0.0304 3.2 160 1.4179 0.8
0.0 3.4 170 1.4685 0.8
0.0 3.6 180 1.4897 0.8
0.0015 3.8 190 1.2689 0.8
0.0001 4.0 200 1.0355 0.78
0.0007 4.2 210 1.1339 0.77
0.0002 4.4 220 1.1915 0.79
0.0001 4.6 230 1.1300 0.8
0.001 4.8 240 1.1464 0.79
0.0001 5.0 250 1.2227 0.78
0.0 5.2 260 1.3048 0.81
0.0 5.4 270 1.3418 0.79
0.0093 5.6 280 1.3442 0.78
0.0004 5.8 290 1.2721 0.8
0.0035 6.0 300 1.1852 0.77
0.0016 6.2 310 1.1745 0.77
0.0003 6.4 320 1.1138 0.8
0.0002 6.6 330 1.2342 0.79
0.0055 6.8 340 1.3594 0.79
0.0 7.0 350 1.4109 0.79
0.0 7.2 360 1.4677 0.78
0.0 7.4 370 1.4951 0.77
0.0 7.6 380 1.4987 0.77
0.0004 7.8 390 1.4517 0.77
0.0 8.0 400 1.4632 0.77
0.0 8.2 410 1.4825 0.78
0.0008 8.4 420 1.4486 0.79
0.0 8.6 430 1.4426 0.79
0.0 8.8 440 1.4216 0.79
0.0 9.0 450 1.4166 0.79
0.0 9.2 460 1.4161 0.79
0.0 9.4 470 1.4172 0.79
0.0003 9.6 480 1.4179 0.79
0.0286 9.8 490 1.4155 0.79
0.0 10.0 500 1.4143 0.79
Framework versions
  • Transformers 4.34.0
  • Pytorch 2.1.0
  • Datasets 2.14.5
  • Tokenizers 0.14.0

Runs of Erland result_xlmr_siqa on huggingface.co

9
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0
24-hour runs
0
3-day runs
0
7-day runs
-2
30-day runs

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