readme: ---
  license: apache-2.0
  tags:
  - text-classification
  - generated_from_trainer
  datasets:
  - glue
  model-index:
  - name: distilroberta-base-mrpc-glue-oscar-salas
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # distilroberta-base-mrpc-glue-oscar-salas
  
  This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the datasetX dataset.
  It achieves the following results on the evaluation set:
  - eval_loss: 0.6456
  - eval_accuracy: 0.8260
  - eval_f1: 0.8795
  - eval_runtime: 30.3289
  - eval_samples_per_second: 13.453
  - eval_steps_per_second: 1.682
  - epoch: 1.09
  - step: 500
  
  ## 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
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cpu
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  