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--- |
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language: |
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- en |
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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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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: GLUE COLA |
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type: glue |
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args: cola |
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metrics: |
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- name: Matthews Correlation |
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type: matthews_correlation |
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value: 0.0 |
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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 COLA 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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