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samaksh-khatri-crest-data/gmra_model_gpt2_11082023T144604

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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gmramodelgpt2_11082023T144604

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

  • —Loss: 0.8224
  • —Accuracy: 0.8972

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: 0.002
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 64
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracy
No log1.0710.47530.8946
No log1.991420.55970.8937
No log2.992130.62390.9060
No log4.02850.65100.9007
No log5.03560.70540.8998
No log5.994270.84320.8972
No log6.994980.88310.8972
0.03598.05700.83220.8963
0.03599.06410.81250.8954
0.03599.967100.82240.8972

Framework versions

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