---
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xlm-roberta-base-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. -->

# xlm-roberta-base-clickbait-task1-20-epoch-post_title

This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6481
- Accuracy: 0.6875

## 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  | 0.8494          | 0.6675   |
| No log        | 2.0   | 400  | 0.7488          | 0.6975   |
| 0.8603        | 3.0   | 600  | 0.7566          | 0.7025   |
| 0.8603        | 4.0   | 800  | 0.8778          | 0.7075   |
| 0.5018        | 5.0   | 1000 | 0.9345          | 0.7025   |
| 0.5018        | 6.0   | 1200 | 1.1088          | 0.695    |
| 0.5018        | 7.0   | 1400 | 1.4765          | 0.69     |
| 0.2227        | 8.0   | 1600 | 1.7443          | 0.6975   |
| 0.2227        | 9.0   | 1800 | 1.7676          | 0.6875   |
| 0.1063        | 10.0  | 2000 | 2.1244          | 0.675    |
| 0.1063        | 11.0  | 2200 | 2.2377          | 0.6925   |
| 0.1063        | 12.0  | 2400 | 2.3395          | 0.685    |
| 0.05          | 13.0  | 2600 | 2.4198          | 0.6925   |
| 0.05          | 14.0  | 2800 | 2.5012          | 0.6875   |
| 0.0218        | 15.0  | 3000 | 2.6027          | 0.675    |
| 0.0218        | 16.0  | 3200 | 2.5422          | 0.6925   |
| 0.0218        | 17.0  | 3400 | 2.6134          | 0.68     |
| 0.0138        | 18.0  | 3600 | 2.5818          | 0.69     |
| 0.0138        | 19.0  | 3800 | 2.6337          | 0.6825   |
| 0.0078        | 20.0  | 4000 | 2.6481          | 0.6875   |


### Framework versions

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