| --- |
| base_model: bert-base-uncased |
| library_name: transformers |
| license: apache-2.0 |
| metrics: |
| - accuracy |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: CHATGPT_USER_REVIEWS_Bert |
| 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. --> |
|
|
| # CHATGPT_USER_REVIEWS_Bert |
| |
| This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2797 |
| - Accuracy: 0.9554 |
| |
| ## 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: 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 253 | 0.3518 | 0.8661 | |
| | 0.316 | 2.0 | 506 | 0.5223 | 0.875 | |
| | 0.316 | 3.0 | 759 | 0.6317 | 0.875 | |
| | 0.0983 | 4.0 | 1012 | 0.6619 | 0.8929 | |
| | 0.0983 | 5.0 | 1265 | 0.7423 | 0.8839 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.45.1 |
| - Pytorch 2.4.0 |
| - Datasets 3.0.1 |
| - Tokenizers 0.20.0 |
| |
