| | --- |
| | library_name: transformers |
| | language: |
| | - en |
| | base_model: Hartunka/bert_base_km_5_v1 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - glue |
| | metrics: |
| | - matthews_correlation |
| | - accuracy |
| | model-index: |
| | - name: bert_base_km_5_v1_cola |
| | results: |
| | - task: |
| | name: Text Classification |
| | type: text-classification |
| | dataset: |
| | name: GLUE COLA |
| | type: glue |
| | args: cola |
| | metrics: |
| | - name: Matthews Correlation |
| | type: matthews_correlation |
| | value: 0.04959298805408078 |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.6874400973320007 |
| | --- |
| | |
| | <!-- 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_km_5_v1_cola |
| | |
| | This model is a fine-tuned version of [Hartunka/bert_base_km_5_v1](https://huggingface.co/Hartunka/bert_base_km_5_v1) on the GLUE COLA dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6169 |
| | - Matthews Correlation: 0.0496 |
| | - Accuracy: 0.6874 |
| | |
| | ## 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: 5e-05 |
| | - train_batch_size: 256 |
| | - eval_batch_size: 256 |
| | - seed: 10 |
| | - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 50 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------------------:|:--------:| |
| | | 0.6154 | 1.0 | 34 | 0.6184 | -0.0079 | 0.6894 | |
| | | 0.5959 | 2.0 | 68 | 0.6171 | 0.0055 | 0.6740 | |
| | | 0.5583 | 3.0 | 102 | 0.6169 | 0.0496 | 0.6874 | |
| | | 0.5145 | 4.0 | 136 | 0.6424 | 0.0953 | 0.6635 | |
| | | 0.4591 | 5.0 | 170 | 0.6875 | 0.0989 | 0.6491 | |
| | | 0.412 | 6.0 | 204 | 0.7451 | 0.0651 | 0.6309 | |
| | | 0.3633 | 7.0 | 238 | 0.7966 | 0.1089 | 0.6203 | |
| | | 0.3189 | 8.0 | 272 | 0.8536 | 0.1002 | 0.6462 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.50.2 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.21.1 |
| | |
