---
license: apache-2.0
base_model: distilbert/distilbert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-cased-clickbait-task1-20-epoch-post_title
  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-cased-clickbait-task1-20-epoch-post_title

This model is a fine-tuned version of [distilbert/distilbert-base-cased](https://huggingface.co./distilbert/distilbert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4958
- Accuracy: 0.6475

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 200  | 0.8537          | 0.6225   |
| No log        | 2.0   | 400  | 0.8157          | 0.65     |
| 0.8073        | 3.0   | 600  | 0.8731          | 0.6525   |
| 0.8073        | 4.0   | 800  | 0.9890          | 0.6825   |
| 0.3328        | 5.0   | 1000 | 1.2191          | 0.6325   |
| 0.3328        | 6.0   | 1200 | 1.4974          | 0.675    |
| 0.3328        | 7.0   | 1400 | 1.7291          | 0.6575   |
| 0.0842        | 8.0   | 1600 | 1.9302          | 0.65     |
| 0.0842        | 9.0   | 1800 | 2.0243          | 0.66     |
| 0.0262        | 10.0  | 2000 | 2.1548          | 0.6525   |
| 0.0262        | 11.0  | 2200 | 2.3360          | 0.64     |
| 0.0262        | 12.0  | 2400 | 2.2967          | 0.655    |
| 0.0088        | 13.0  | 2600 | 2.2970          | 0.6525   |
| 0.0088        | 14.0  | 2800 | 2.3359          | 0.6425   |
| 0.0058        | 15.0  | 3000 | 2.4252          | 0.6525   |
| 0.0058        | 16.0  | 3200 | 2.4796          | 0.6575   |
| 0.0058        | 17.0  | 3400 | 2.4698          | 0.645    |
| 0.0033        | 18.0  | 3600 | 2.4963          | 0.645    |
| 0.0033        | 19.0  | 3800 | 2.4821          | 0.6475   |
| 0.0022        | 20.0  | 4000 | 2.4958          | 0.6475   |


### Framework versions

- Transformers 4.44.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1