| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| datasets: |
| - glue |
| metrics: |
| - matthews_correlation |
| model-index: |
| - name: deberta-large-finetuned-cola |
| results: |
| - task: |
| name: Text Classification |
| type: text-classification |
| dataset: |
| name: glue |
| type: glue |
| config: cola |
| split: train |
| args: cola |
| metrics: |
| - name: Matthews Correlation |
| type: matthews_correlation |
| value: 0.6405601442104573 |
| --- |
| |
| <!-- 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. --> |
|
|
| # deberta-large-finetuned-cola |
|
|
| This model is a fine-tuned version of [microsoft/deberta-large](https://huggingface.co/microsoft/deberta-large) on the glue dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5893 |
| - Matthews Correlation: 0.6406 |
|
|
| ## 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: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | |
| |:-------------:|:-----:|:----:|:---------------:|:--------------------:| |
| | 0.4838 | 1.0 | 535 | 0.5167 | 0.5613 | |
| | 0.2803 | 2.0 | 1070 | 0.4892 | 0.6232 | |
| | 0.1597 | 3.0 | 1605 | 0.5893 | 0.6406 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.25.1 |
| - Pytorch 1.13.1+cu116 |
| - Datasets 2.8.0 |
| - Tokenizers 0.13.2 |
|
|
