Dh1raj/

bert-base-uncase-resume-class

This modelcard is a fine tuned version of Bert-base-uncased for text classification given candidates profile description on the resume.

Risks inherited from base model apply

[More Information Needed]

Step Training Loss Validation Loss Accuracy F1 Precision Recall 50 3.191700 3.144314 0.045576 0.005990 0.043515 0.042929 100 2.940400 2.529969 0.313673 0.198400 0.326865 0.263533 150 2.289300 1.829516 0.638070 0.522103 0.562795 0.570456 200 1.582400 1.251463 0.784182 0.678805 0.699407 0.707561 250 1.120000 1.036136 0.773458 0.668376 0.700246 0.693412 300 0.886400 0.898808 0.812332 0.733046 0.757457 0.741408 350 0.799100 0.825964 0.824397 0.745086 0.766041 0.752816 400 0.848900 0.734574 0.836461 0.773499 0.812788 0.768352 450 0.699000 0.745959 0.833780 0.759005 0.780415 0.763101 500 0.510300 0.710035 0.844504 0.771996 0.794520 0.775719 550 0.514200 0.679396 0.840483 0.768999 0.785576 0.773328 600 0.516700 0.684477 0.843164 0.770532 0.785427 0.774498 650 0.483200 0.686520 0.840483 0.768139 0.780840 0.772857

train 0.479060 0.897583 0.839754 0.911787 0.840669 val 0.710035 0.844504 0.771996 0.794520 0.775719

colab T4