---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: bert-finetuned-mrpc
  results: []
datasets:
- glue
language:
- en
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-finetuned-mrpc

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1927
- Matthews Correlation: 0.4810

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

glue cola dataset

## 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: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.2742        | 1.0   | 1069 | 0.8391          | 0.4810               |
| 0.2018        | 2.0   | 2138 | 1.0347          | 0.4674               |
| 0.0966        | 3.0   | 3207 | 1.1927          | 0.4810               |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1