| --- |
| license: apache-2.0 |
| base_model: distilbert-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: distilbert_coarse5_js_1.1 |
| results: [] |
| datasets: |
| - PDAP/coarse-labeled-urls-headers |
| --- |
| |
| <!-- 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_coarse5_js_1.1 |
| |
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) trained on the dataset |
| [PDAP/coarse-labeled-urls-headers](https://huggingface.co/datasets/PDAP/coarse-labeled-urls-headers). |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6826 |
| - Accuracy: 0.8039 |
| |
| ## Model description |
| |
| More information needed |
| |
| ## Intended uses & limitations |
| |
| More information needed |
| |
| ## Training and evaluation data |
| |
| This model is trained on urls/html data belonging to 5 coarse grained labels: |
| |
| - Police & Public Interactions |
| - Info About Officers |
| - Info About Agencies |
| - Agency-Published Resources |
| - Jails & Courts Specific |
| |
| ## Training procedure |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - 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 |
| - lr_scheduler_warmup_steps: 100 |
| - num_epochs: 6 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 364 | 0.9021 | 0.6830 | |
| | 1.0729 | 2.0 | 728 | 0.6936 | 0.7712 | |
| | 0.6279 | 3.0 | 1092 | 0.6766 | 0.7745 | |
| | 0.6279 | 4.0 | 1456 | 0.6633 | 0.7941 | |
| | 0.4531 | 5.0 | 1820 | 0.6691 | 0.8137 | |
| | 0.3527 | 6.0 | 2184 | 0.6826 | 0.8039 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.36.2 |
| - Pytorch 2.1.2 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
