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xlnet-base-mnli-finetuned

This model is a fine-tuned version of xlnet-base-cased on the glue dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3456
  • Accuracy: 0.9119

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: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.336 1.0 49087 0.3299 0.9010
0.2582 2.0 98174 0.3456 0.9119

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.12.0+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1
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Dataset used to train clevrly/xlnet-base-mnli-finetuned

Evaluation results