---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine-url-classifier
  results: []
datasets:
- PDAP/fine-labeled-urls-headers
pipeline_tag: text-classification
---

<!-- 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. -->

# fine-url-classifier

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the dataset 
[PDAP/fine-labeled-urls-headers](https://huggingface.co/datasets/PDAP/fine-labeled-urls-headers)..
It achieves the following results on the evaluation set:
- Loss: 1.7291
- Accuracy: 0.5702

## 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: 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 375  | 2.2771          | 0.4146   |
| 2.6525        | 2.0   | 750  | 1.9316          | 0.5441   |
| 1.9453        | 3.0   | 1125 | 1.7770          | 0.5565   |
| 1.6729        | 4.0   | 1500 | 1.7291          | 0.5702   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.0