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gpt2-large-bn-adapter-7.42M-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: 0.2789
  • Accuracy: 0.8999

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
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 23
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.3594 1.0 17168 0.3009 0.8894
0.3278 2.0 34336 0.2831 0.8967
0.3089 3.0 51504 0.2789 0.8999

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.1+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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Dataset used to train varun-v-rao/gpt2-large-bn-adapter-7.42M-snli-model1

Evaluation results