| --- |
| license: apache-2.0 |
| base_model: bert-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| - precision |
| - recall |
| model-index: |
| - name: 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. --> |
|
|
| # results |
|
|
| This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.0300 |
| - Accuracy: 0.5894 |
| - F1: 0.5891 |
| - Precision: 0.5918 |
| - Recall: 0.5894 |
|
|
| ## 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: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
| | 1.1618 | 1.0 | 367 | 1.0932 | 0.5433 | 0.5350 | 0.5951 | 0.5433 | |
| | 0.8085 | 2.0 | 734 | 1.0683 | 0.5806 | 0.5769 | 0.5769 | 0.5806 | |
| | 0.5055 | 3.0 | 1101 | 1.2485 | 0.5711 | 0.5728 | 0.5867 | 0.5711 | |
| | 0.1641 | 4.0 | 1468 | 1.7630 | 0.5925 | 0.5917 | 0.5916 | 0.5925 | |
| | 0.0525 | 5.0 | 1835 | 2.0300 | 0.5894 | 0.5891 | 0.5918 | 0.5894 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.41.2 |
| - Pytorch 2.3.0+cu121 |
| - Tokenizers 0.19.1 |
| |
