
---
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](https://huggingface.co/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

{}
transformers tensorboard safetensors bert text-classification autotrain_compatible endpoints_compatible region:us