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samaksh-khatri-crest-data/gmra_model_gpt2_14082023T112228

sourceHugging Facemitupdated 3y agoView on Hugging Face
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gmramodelgpt2_14082023T112228

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.3424
  • —Accuracy: 0.9016

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: 2e-05
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 128
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracy
No log1.0710.74400.7636
No log1.991420.54660.8278
No log2.992130.43790.8656
No log4.02850.39590.8787
No log5.03560.35600.8919
No log5.994270.34420.8946
No log6.994980.35350.8954
0.50128.05700.32320.9007
0.50129.06410.33640.8989
0.50129.967100.34240.9016

Framework versions

  • —Transformers 4.31.0
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.4
  • —Tokenizers 0.13.3