---

license: apache-2.0 base_model: bert-base-uncased tags:

• text-classification
• generated_from_trainer metrics:
• accuracy
• f1 widget:
• text:
  • "Yucaipa owned Dominick's before selling the chain to Safeway in 1998 for $2.5 billion."
  • "Yucaipa bought Dominick's in 1995 for $693 million and sold it to Safeway for $1.8 billion in 1998." example_title: Not Equivalent
• text:
  • "Revenue in the first quarter of the year dropped 15 percent from the same period a year earlier."
  • "With the scandal hanging over Stewart's company, revenue the first quarter of the year dropped 15 percent from the same period a year earlier." example_title: Equivalent model-index:
• name: platzi-distilroberta-base-mrpc-glue-alexander-ferreras results: []

platzi-distilroberta-base-mrpc-glue-alexander-ferreras

This model is a fine-tuned version of bert-base-uncased on the GLUE and the MRPC datasets. It achieves the following results on the evaluation set:

• Loss: 0.4556
• Accuracy: 0.8137
• F1: 0.8742

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
0.5101	1.09	500	0.4556	0.8137	0.8742
0.2824	2.18	1000	0.6425	0.8480	0.8942

Framework versions

• Transformers: 4.37.2
• Pytorch: 2.1.0+cu121
• Datasets: 2.17.0
• Tokenizers: 0.15.1