| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| base_model: distilbert-base-uncased |
| metrics: |
| - accuracy |
| model-index: |
| - name: model_results |
| 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. --> |
|
|
| # model_results |
| |
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1240 |
| - Accuracy: 0.9780 |
| |
| ## 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: 0.0002 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.53 | 1.0 | 1270 | 0.3255 | 0.9425 | |
| | 0.2706 | 2.0 | 2540 | 0.2034 | 0.9630 | |
| | 0.1923 | 3.0 | 3810 | 0.1934 | 0.9685 | |
| | 0.1241 | 4.0 | 5080 | 0.1370 | 0.9783 | |
| | 0.0978 | 5.0 | 6350 | 0.1240 | 0.9780 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.40.0 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.19.0 |
| - Tokenizers 0.19.1 |
| |
