---
license: apache-2.0
tags:
- text-classification
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: platzi-distilbert-base-uncased-mrpc-glue-Lukas-Bustosg
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# platzi-distilbert-base-uncased-mrpc-glue-Lukas-Bustosg

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue and the mrpc datasets.
It achieves the following results on the evaluation set:
- Loss: 0.5464
- Accuracy: 0.8358
- F1: 0.8855

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.54          | 1.09  | 500  | 0.5464          | 0.8358   | 0.8855 |
| 0.3746        | 2.18  | 1000 | 0.6347          | 0.8137   | 0.8527 |


### Framework versions

- Transformers 4.29.0
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.13.3