---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
  results: []
---

<!-- 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. -->

# distilbert-base-uncased-finetuned-cola

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7916
- Matthews Correlation: 0.5309

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.519         | 1.0   | 535  | 0.4526          | 0.4348               |
| 0.344         | 2.0   | 1070 | 0.4732          | 0.4945               |
| 0.2344        | 3.0   | 1605 | 0.6461          | 0.5073               |
| 0.1778        | 4.0   | 2140 | 0.7916          | 0.5309               |
| 0.1301        | 5.0   | 2675 | 0.8300          | 0.5288               |


### Framework versions

- Transformers 4.45.0
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.20.0