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samaksh-khatri-crest-data/gmra_model_gpt2-medium_14082023T134929

sourceHugging Facemitupdated 3y agoView on Hugging Face
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gmramodelgpt2-medium_14082023T134929

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

  • —Loss: 0.3831
  • —Accuracy: 0.9438

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 32
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracy
No log1.02840.26260.9069
0.34642.05680.22630.9262
0.34643.08520.25450.9394
0.10224.011370.25770.9464
0.10225.014210.34850.9420
0.02926.017050.34450.9429
0.02927.019890.31270.9464
0.01258.022740.40680.9411
0.00859.025580.38530.9438
0.00859.9928400.38310.9438

Framework versions

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