| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: distilbert/distilbert-base-uncased |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | model-index: |
| | - name: distilbert-base-uncased-classifier |
| | 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. --> |
| |
|
| | # distilbert-base-uncased-classifier |
| |
|
| | This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2565 |
| | - Accuracy: 0.8991 |
| | - F1: 0.8045 |
| |
|
| | ## 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: 32 |
| | - eval_batch_size: 32 |
| | - 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: 2 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| | |:-------------:|:------:|:----:|:---------------:|:--------:|:------:| |
| | | No log | 0 | 0 | 0.7631 | 0.2536 | 0.4046 | |
| | | No log | 0.2020 | 79 | 0.3566 | 0.8559 | 0.6689 | |
| | | No log | 0.4041 | 158 | 0.3387 | 0.8573 | 0.7506 | |
| | | No log | 0.6061 | 237 | 0.2934 | 0.8804 | 0.7688 | |
| | | No log | 0.8082 | 316 | 0.2863 | 0.8890 | 0.7947 | |
| | | No log | 1.0102 | 395 | 0.2716 | 0.8876 | 0.7869 | |
| | | No log | 1.2123 | 474 | 0.2799 | 0.8905 | 0.7877 | |
| | | 0.3458 | 1.4143 | 553 | 0.2581 | 0.8977 | 0.8033 | |
| | | 0.3458 | 1.6164 | 632 | 0.2539 | 0.8977 | 0.8011 | |
| | | 0.3458 | 1.8184 | 711 | 0.2565 | 0.8991 | 0.8045 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.51.3 |
| | - Pytorch 2.7.0+cu126 |
| | - Datasets 3.5.0 |
| | - Tokenizers 0.21.1 |
| |
|
