| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - glue | |
| metrics: | |
| - accuracy | |
| - f1 | |
| base_model: bert-base-cased | |
| model-index: | |
| - name: finetuned-bert | |
| results: | |
| - task: | |
| type: text-classification | |
| name: Text Classification | |
| dataset: | |
| name: glue | |
| type: glue | |
| config: mrpc | |
| split: validation | |
| args: mrpc | |
| metrics: | |
| - type: accuracy | |
| value: 0.8627450980392157 | |
| name: Accuracy | |
| - type: f1 | |
| value: 0.9037800687285222 | |
| name: F1 | |
| <!-- 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. --> | |
| # finetuned-bert | |
| 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: 0.4431 | |
| - Accuracy: 0.8627 | |
| - F1: 0.9038 | |
| ## 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: 3.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| | |
| | 0.5331 | 1.0 | 230 | 0.3900 | 0.8333 | 0.8870 | | |
| | 0.2878 | 2.0 | 460 | 0.3675 | 0.8505 | 0.8935 | | |
| | 0.1395 | 3.0 | 690 | 0.4431 | 0.8627 | 0.9038 | | |
| ### Framework versions | |
| - Transformers 4.29.2 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.13.3 | |