| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - glue |
| | metrics: |
| | - matthews_correlation |
| | model-index: |
| | - name: bert-tiny-target-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: 0.14578167065086653 |
| | --- |
| | |
| | <!-- 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-tiny-target-cola |
| |
|
| | This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the glue dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6626 |
| | - Matthews Correlation: 0.1458 |
| |
|
| | ## 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: 3e-05 |
| | - train_batch_size: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: constant |
| | - num_epochs: 200 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------------------:| |
| | | 0.6124 | 1.87 | 500 | 0.6192 | 0.0 | |
| | | 0.6016 | 3.73 | 1000 | 0.6167 | 0.0 | |
| | | 0.5838 | 5.6 | 1500 | 0.6166 | 0.0149 | |
| | | 0.5555 | 7.46 | 2000 | 0.6344 | 0.0465 | |
| | | 0.5272 | 9.33 | 2500 | 0.6542 | 0.1399 | |
| | | 0.5058 | 11.19 | 3000 | 0.6626 | 0.1458 | |
| | | 0.4791 | 13.06 | 3500 | 0.6868 | 0.1192 | |
| | | 0.4577 | 14.93 | 4000 | 0.7215 | 0.1230 | |
| | | 0.4425 | 16.79 | 4500 | 0.7322 | 0.1243 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.25.1 |
| | - Pytorch 1.13.0+cu116 |
| | - Datasets 2.8.0 |
| | - Tokenizers 0.13.2 |
| |
|
