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README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- glue
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metrics:
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- matthews_correlation
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model-index:
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- name: cola-pixel-handwritten-mean-vatrpp-256-64-4-2e-5-15000-42
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# cola-pixel-handwritten-mean-vatrpp-256-64-4-2e-5-15000-42
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This model is a fine-tuned version of [noniewiem/pixel-handwritten](https://huggingface.co/noniewiem/pixel-handwritten) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6182
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- Matthews Correlation: 0.0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 64
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 200
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- training_steps: 15000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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| 0.655 | 3.03 | 100 | 0.6341 | 0.0029 |
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| 0.6174 | 6.06 | 200 | 0.6282 | 0.0 |
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| 0.6196 | 9.09 | 300 | 0.6198 | 0.0 |
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| 0.6158 | 12.12 | 400 | 0.6199 | 0.0 |
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| 0.6175 | 15.15 | 500 | 0.6181 | 0.0 |
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| 0.6152 | 18.18 | 600 | 0.6191 | 0.0 |
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| 0.617 | 21.21 | 700 | 0.6185 | 0.0 |
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| 0.6191 | 24.24 | 800 | 0.6185 | 0.0 |
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| 0.6162 | 27.27 | 900 | 0.6183 | 0.0 |
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| 0.6166 | 30.3 | 1000 | 0.6183 | 0.0 |
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| 0.6177 | 33.33 | 1100 | 0.6182 | 0.0 |
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 2.3.0+cu121
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- Datasets 2.0.0
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- Tokenizers 0.13.3
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