| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| base_model: bert-base-cased |
| 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 an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4153 |
| - Accuracy: 0.819 |
| |
| ## 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: 25 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 125 | 0.6959 | 0.451 | |
| | No log | 2.0 | 250 | 0.6876 | 0.561 | |
| | No log | 3.0 | 375 | 0.6825 | 0.543 | |
| | 0.6936 | 4.0 | 500 | 0.6629 | 0.617 | |
| | 0.6936 | 5.0 | 625 | 0.6337 | 0.661 | |
| | 0.6936 | 6.0 | 750 | 0.6049 | 0.674 | |
| | 0.6936 | 7.0 | 875 | 0.5729 | 0.706 | |
| | 0.6247 | 8.0 | 1000 | 0.5497 | 0.71 | |
| | 0.6247 | 9.0 | 1125 | 0.5248 | 0.733 | |
| | 0.6247 | 10.0 | 1250 | 0.5047 | 0.74 | |
| | 0.6247 | 11.0 | 1375 | 0.4837 | 0.765 | |
| | 0.5062 | 12.0 | 1500 | 0.4711 | 0.766 | |
| | 0.5062 | 13.0 | 1625 | 0.4593 | 0.784 | |
| | 0.5062 | 14.0 | 1750 | 0.4504 | 0.788 | |
| | 0.5062 | 15.0 | 1875 | 0.4430 | 0.793 | |
| | 0.4395 | 16.0 | 2000 | 0.4341 | 0.8 | |
| | 0.4395 | 17.0 | 2125 | 0.4310 | 0.8 | |
| | 0.4395 | 18.0 | 2250 | 0.4264 | 0.807 | |
| | 0.4395 | 19.0 | 2375 | 0.4214 | 0.807 | |
| | 0.3974 | 20.0 | 2500 | 0.4211 | 0.811 | |
| | 0.3974 | 21.0 | 2625 | 0.4168 | 0.812 | |
| | 0.3974 | 22.0 | 2750 | 0.4183 | 0.815 | |
| | 0.3974 | 23.0 | 2875 | 0.4155 | 0.815 | |
| | 0.3823 | 24.0 | 3000 | 0.4154 | 0.818 | |
| | 0.3823 | 25.0 | 3125 | 0.4153 | 0.819 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.7.1 |
| - Transformers 4.36.2 |
| - Pytorch 2.3.0.dev20231231 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
