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gokulsrinivasagan/tinybert_train_book_ent_15p_mid_qnli

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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tinyberttrainbookent15pmidqnli

This model is a fine-tuned version of gokulsrinivasagan/tinybert_train_book_ent_15p_mid on the GLUE QNLI dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.6574
  • —Accuracy: 0.6066

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 LossAccuracy
0.67511.04100.65740.6066
0.64312.08200.66470.5984
0.61263.012300.67910.5966
0.57924.016400.72770.5942
0.53775.020500.79040.5794
0.48596.024600.82940.5689

Framework versions

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