---
license: apache-2.0
base_model: bert-large-uncased
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: BERT1bert-large-uncased-finetuned-cola
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# BERT1bert-large-uncased-finetuned-cola

This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9476
- Matthews Correlation: 0.6185

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.4566        | 1.0   | 535  | 0.4120          | 0.5206               |
| 0.2681        | 2.0   | 1070 | 0.4370          | 0.6001               |
| 0.1804        | 3.0   | 1605 | 0.6445          | 0.6108               |
| 0.1059        | 4.0   | 2140 | 0.8336          | 0.6183               |
| 0.0624        | 5.0   | 2675 | 0.9476          | 0.6185               |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1