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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-256-128-4-3e-5-15000-420 |
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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-256-128-4-3e-5-15000-420 |
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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: 0.6172 |
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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: 3e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 8 |
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- seed: 420 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 512 |
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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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| 0.651 | 6.24 | 100 | 0.6248 | 0.0 | |
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| 0.6339 | 12.48 | 200 | 0.6229 | 0.0 | |
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| 0.6347 | 18.72 | 300 | 0.6188 | 0.0 | |
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| 0.6348 | 24.96 | 400 | 0.6178 | 0.0 | |
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| 0.6383 | 31.24 | 500 | 0.6179 | 0.0 | |
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| 0.633 | 37.48 | 600 | 0.6183 | 0.0 | |
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| 0.633 | 43.72 | 700 | 0.6159 | 0.0 | |
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| 0.6333 | 49.96 | 800 | 0.6181 | 0.0 | |
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| 0.6369 | 56.24 | 900 | 0.6213 | 0.0 | |
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| 0.6359 | 62.48 | 1000 | 0.6191 | 0.0 | |
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| 0.6348 | 68.72 | 1100 | 0.6172 | 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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