---
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