| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - glue | |
| metrics: | |
| - matthews_correlation | |
| base_model: bert-base-uncased | |
| model-index: | |
| - name: bert-base-uncased-finetuned-cola | |
| results: | |
| - task: | |
| type: text-classification | |
| name: Text Classification | |
| dataset: | |
| name: glue | |
| type: glue | |
| args: cola | |
| metrics: | |
| - type: matthews_correlation | |
| value: 0.5214716883534575 | |
| name: Matthews Correlation | |
| <!-- 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. --> | |
| # bert-base-uncased-finetuned-cola | |
| This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.4742 | |
| - Matthews Correlation: 0.5215 | |
| ## 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: 2.468554830415339e-05 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 32 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------------------:| | |
| | 0.4392 | 1.0 | 1069 | 0.4742 | 0.5215 | | |
| ### Framework versions | |
| - Transformers 4.12.2 | |
| - Pytorch 2.0.0+cu117 | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.10.3 | |