CoolFace
Modelpublic

gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_kd_complete_qqp

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
0likes6downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

tinybertbasetrainbookent15psinitkdcompleteqqp

This model is a fine-tuned version of gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_kd_complete on the GLUE QQP dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2906
  • Accuracy: 0.8756
  • F1: 0.8286
  • Combined Score: 0.8521

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
  • trainbatchsize: 256
  • evalbatchsize: 256
  • seed: 10
  • optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: linear
  • num_epochs: 50

Training results

Training LossEpochStepValidation LossAccuracyF1Combined Score
0.40761.014220.34140.84490.78060.8128
0.31162.028440.31960.85690.82240.8397
0.2653.042660.29820.87360.83390.8537
0.22934.056880.29060.87560.82860.8521
0.19885.071100.30520.88080.84010.8605
0.1726.085320.29610.88340.84510.8642
0.14987.099540.32960.88020.84340.8618
0.12998.0113760.34420.88720.84950.8684
0.11429.0127980.36990.88510.84740.8662

Framework versions

  • Transformers 4.51.2
  • Pytorch 2.6.0+cu126
  • Datasets 3.5.0
  • Tokenizers 0.21.1