generated_from_trainer

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distilbert_add_GLUE_Experiment_mrpc_256

This model is a fine-tuned version of distilbert-base-uncased on the GLUE MRPC dataset. It achieves the following results on the evaluation set:

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:

Training results

Training Loss Epoch Step Validation Loss Accuracy F1 Combined Score
0.637 1.0 15 0.6242 0.6838 0.8122 0.7480
0.629 2.0 30 0.6240 0.6838 0.8122 0.7480
0.6302 3.0 45 0.6248 0.6838 0.8122 0.7480
0.63 4.0 60 0.6241 0.6838 0.8122 0.7480
0.6323 5.0 75 0.6240 0.6838 0.8122 0.7480
0.6299 6.0 90 0.6243 0.6838 0.8122 0.7480
0.6325 7.0 105 0.6239 0.6838 0.8122 0.7480
0.6301 8.0 120 0.6239 0.6838 0.8122 0.7480
0.6324 9.0 135 0.6240 0.6838 0.8122 0.7480
0.6293 10.0 150 0.6240 0.6838 0.8122 0.7480
0.6307 11.0 165 0.6239 0.6838 0.8122 0.7480
0.6302 12.0 180 0.6240 0.6838 0.8122 0.7480
0.6338 13.0 195 0.6237 0.6838 0.8122 0.7480
0.6281 14.0 210 0.6225 0.6838 0.8122 0.7480
0.6263 15.0 225 0.6183 0.6838 0.8122 0.7480
0.6017 16.0 240 0.5932 0.7108 0.8234 0.7671
0.5213 17.0 255 0.6146 0.6642 0.7540 0.7091
0.4383 18.0 270 0.6405 0.6912 0.7842 0.7377
0.3903 19.0 285 0.6910 0.6912 0.7872 0.7392
0.363 20.0 300 0.7221 0.6544 0.7374 0.6959
0.3306 21.0 315 0.7583 0.6863 0.7808 0.7335

Framework versions