| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: bert-base-cased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: test_trainer |
| results: [] |
| --- |
| |
| <!-- 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_trainer |
| |
| This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on imdb dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6039 |
| - Accuracy: 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: 5e-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: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.4533 | 1.0 | 500 | 0.5298 | 0.802 | |
| | 0.2644 | 2.0 | 1000 | 0.4896 | 0.8852 | |
| | 0.1317 | 3.0 | 1500 | 0.4272 | 0.9015 | |
| | 0.0579 | 4.0 | 2000 | 0.5598 | 0.904 | |
| | 0.0177 | 5.0 | 2500 | 0.6039 | 0.9038 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.44.2 |
| - Pytorch 2.4.0+cu121 |
| - Datasets 3.0.0 |
| - Tokenizers 0.19.1 |
| |
