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metadata
license: apache-2.0
tags:
  - text-classification
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: modelo-distilroberta-base-mrpc-glue-hugo-martinez
    results: []

modelo-distilroberta-base-mrpc-glue-hugo-martinez

This model is a fine-tuned version of distilroberta-base on the glue and the mrpc datasets. It achieves the following results on the evaluation set:

  • Loss: 0.6081
  • Accuracy: 0.8162
  • F1: 0.8700

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
0.5054 1.09 500 0.6081 0.8162 0.8700
0.3383 2.18 1000 0.6265 0.8211 0.8651

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.13.3