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roberta-large-finetuned-mnli-batch_size_4_100000_samples

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

  • Loss: 1.0980
  • Accuracy: 0.3545

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.1026 1.0 25000 1.0980 0.3545

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.7.1
  • Tokenizers 0.13.2
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Dataset used to train Kuaaangwen/roberta-large-finetuned-mnli-batch_size_4_100000_samples

Evaluation results