| | --- |
| | library_name: peft |
| | license: apache-2.0 |
| | base_model: distilbert-base-uncased |
| | tags: |
| | - base_model:adapter:distilbert-base-uncased |
| | - lora |
| | - transformers |
| | metrics: |
| | - accuracy |
| | - precision |
| | - recall |
| | - f1 |
| | model-index: |
| | - name: distilbert-base-category-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-category-classifier |
| |
|
| | 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: 0.1482 |
| | - Accuracy: 0.9518 |
| | - Precision: 0.9514 |
| | - Recall: 0.9518 |
| | - F1: 0.9515 |
| |
|
| | ## 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_FUSED 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 | Accuracy | Precision | Recall | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
| | | 0.5032 | 1.0 | 1342 | 0.2337 | 0.9277 | 0.9265 | 0.9277 | 0.9267 | |
| | | 0.1954 | 2.0 | 2684 | 0.1623 | 0.9490 | 0.9487 | 0.9490 | 0.9487 | |
| | | 0.154 | 3.0 | 4026 | 0.1482 | 0.9518 | 0.9514 | 0.9518 | 0.9515 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.17.1 |
| | - Transformers 4.55.4 |
| | - Pytorch 2.8.0+cu126 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.21.4 |
