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distilroberta-base-mrpc-glue-juanda-bula

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

  • Loss: 0.5684
  • Accuracy: 0.8333
  • F1: 0.8707

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • 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 F1
0.5239 1.09 500 0.6723 0.7990 0.8610
0.3692 2.18 1000 0.5684 0.8333 0.8707

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.13.0+cpu
  • Datasets 2.7.1
  • Tokenizers 0.13.2
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Dataset used to train JuandaBula/distilroberta-base-mrpc-glue-juanda-bula

Evaluation results