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varun-v-rao/gpt2-large-snli-model1

sourceHugging Facemitupdated 2y agoView on Hugging Face
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gpt2-large-snli-model1

This model is a fine-tuned version of openai-community/gpt2-large on the snli dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2938
  • —Accuracy: 0.9141

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: 128
  • —evalbatchsize: 128
  • —seed: 79
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3

Training results

Training LossEpochStepValidation LossAccuracy
0.31071.042920.25900.9091
0.21812.085840.25980.9131
0.14413.0128760.29380.9141

Framework versions

  • —Transformers 4.35.2
  • —Pytorch 2.1.1+cu121
  • —Datasets 2.15.0
  • —Tokenizers 0.15.0