---
license: apache-2.0
base_model: roberta-base
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: roberta-base-mrpc-glue
  results: []
datasets:
- nyu-mll/glue
pipeline_tag: text-classification
---

<!-- 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. -->

# roberta-base-mrpc-glue

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the glue and the mrpc datasets.
It achieves the following results on the evaluation set:
- Loss: 0.3949
- Accuracy: 0.8529
- F1: 0.8966

## 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: 1e-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     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| 0.5289        | 1.0893 | 500  | 0.3949          | 0.8529   | 0.8966 |
| 0.3665        | 2.1786 | 1000 | 0.4265          | 0.8505   | 0.8856 |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.19.1