| --- |
| library_name: transformers |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - recall |
| - f1 |
| - accuracy |
| model-index: |
| - name: bert-base-uncased |
| results: [] |
| datasets: |
| - surrey-nlp/PLOD-CW-25 |
| --- |
| |
| <!-- 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. --> |
|
|
| # bert-base-uncased |
|
|
| This model was trained from scratch on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3109 |
| - Precision: 0.7725 |
| - Recall: 0.8635 |
| - F1: 0.8155 |
| - Accuracy: 0.8922 |
|
|
| ## 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: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | No log | 1.0 | 125 | 0.3279 | 0.7562 | 0.8527 | 0.8016 | 0.8860 | |
| | No log | 2.0 | 250 | 0.3262 | 0.7634 | 0.8642 | 0.8107 | 0.8901 | |
| | No log | 3.0 | 375 | 0.3109 | 0.7725 | 0.8635 | 0.8155 | 0.8922 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.51.1 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.5.0 |
| - Tokenizers 0.21.1 |
