---
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: cola-pixel-handwritten-mean-vatrpp-256-64-4-2e-5-15000-42
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: GLUE COLA
      type: glue
      args: cola
    metrics:
    - name: Matthews Correlation
      type: matthews_correlation
      value: 0.0
---

<!-- 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. -->

# cola-pixel-handwritten-mean-vatrpp-256-64-4-2e-5-15000-42

This model is a fine-tuned version of [noniewiem/pixel-handwritten](https://huggingface.co/noniewiem/pixel-handwritten) on the GLUE COLA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6182
- Matthews Correlation: 0.0

## 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: 64
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 15000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.655         | 3.03  | 100  | 0.6341          | 0.0029               |
| 0.6174        | 6.06  | 200  | 0.6282          | 0.0                  |
| 0.6196        | 9.09  | 300  | 0.6198          | 0.0                  |
| 0.6158        | 12.12 | 400  | 0.6199          | 0.0                  |
| 0.6175        | 15.15 | 500  | 0.6181          | 0.0                  |
| 0.6152        | 18.18 | 600  | 0.6191          | 0.0                  |
| 0.617         | 21.21 | 700  | 0.6185          | 0.0                  |
| 0.6191        | 24.24 | 800  | 0.6185          | 0.0                  |
| 0.6162        | 27.27 | 900  | 0.6183          | 0.0                  |
| 0.6166        | 30.3  | 1000 | 0.6183          | 0.0                  |
| 0.6177        | 33.33 | 1100 | 0.6182          | 0.0                  |


### Framework versions

- Transformers 4.17.0
- Pytorch 2.3.0+cu121
- Datasets 2.0.0
- Tokenizers 0.13.3