| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - glue |
| | metrics: |
| | - matthews_correlation |
| | model-index: |
| | - name: test_bug_temporary |
| | results: |
| | - task: |
| | name: Text Classification |
| | type: text-classification |
| | dataset: |
| | name: glue |
| | type: glue |
| | config: cola |
| | split: validation |
| | args: cola |
| | metrics: |
| | - name: Matthews Correlation |
| | type: matthews_correlation |
| | value: 0.5914107788502262 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # test_bug_temporary |
| |
|
| | This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the glue dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.8210 |
| | - Matthews Correlation: 0.5914 |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------------------:| |
| | | 0.4811 | 1.0 | 1069 | 0.5683 | 0.4612 | |
| | | 0.3499 | 2.0 | 2138 | 0.5654 | 0.6041 | |
| | | 0.1871 | 3.0 | 3207 | 0.8210 | 0.5914 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.30.2 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.13.1 |
| | - Tokenizers 0.13.3 |
| |
|
