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---
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: cola-pixel-handwritten-mean-vatrpp-256-128-4-3e-5-15000-420
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-256-128-4-3e-5-15000-420
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: 0.6172
- 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: 3e-05
- train_batch_size: 128
- eval_batch_size: 8
- seed: 420
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.651 | 6.24 | 100 | 0.6248 | 0.0 |
| 0.6339 | 12.48 | 200 | 0.6229 | 0.0 |
| 0.6347 | 18.72 | 300 | 0.6188 | 0.0 |
| 0.6348 | 24.96 | 400 | 0.6178 | 0.0 |
| 0.6383 | 31.24 | 500 | 0.6179 | 0.0 |
| 0.633 | 37.48 | 600 | 0.6183 | 0.0 |
| 0.633 | 43.72 | 700 | 0.6159 | 0.0 |
| 0.6333 | 49.96 | 800 | 0.6181 | 0.0 |
| 0.6369 | 56.24 | 900 | 0.6213 | 0.0 |
| 0.6359 | 62.48 | 1000 | 0.6191 | 0.0 |
| 0.6348 | 68.72 | 1100 | 0.6172 | 0.0 |
### Framework versions
- Transformers 4.17.0
- Pytorch 2.3.0+cu121
- Datasets 2.0.0
- Tokenizers 0.13.3
|