---
base_model: FacebookAI/xlm-roberta-large-finetuned-conll03-english
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xlm-roberta-large-finetuned-conll03-english-clickbait-task1-20-epoch-post
  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-large-finetuned-conll03-english-clickbait-task1-20-epoch-post

This model is a fine-tuned version of [FacebookAI/xlm-roberta-large-finetuned-conll03-english](https://huggingface.co/FacebookAI/xlm-roberta-large-finetuned-conll03-english) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4061
- Accuracy: 0.7375

## 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  | 0.9494          | 0.58     |
| No log        | 2.0   | 400  | 0.7693          | 0.6775   |
| 0.902         | 3.0   | 600  | 0.7246          | 0.7175   |
| 0.902         | 4.0   | 800  | 0.7657          | 0.7125   |
| 0.5812        | 5.0   | 1000 | 0.7353          | 0.7275   |
| 0.5812        | 6.0   | 1200 | 0.8877          | 0.72     |
| 0.5812        | 7.0   | 1400 | 1.2938          | 0.6875   |
| 0.3056        | 8.0   | 1600 | 1.4323          | 0.7275   |
| 0.3056        | 9.0   | 1800 | 1.7561          | 0.6975   |
| 0.1761        | 10.0  | 2000 | 2.0374          | 0.735    |
| 0.1761        | 11.0  | 2200 | 1.9953          | 0.7025   |
| 0.1761        | 12.0  | 2400 | 1.9827          | 0.715    |
| 0.0796        | 13.0  | 2600 | 2.0891          | 0.73     |
| 0.0796        | 14.0  | 2800 | 2.2108          | 0.7275   |
| 0.0321        | 15.0  | 3000 | 2.2815          | 0.72     |
| 0.0321        | 16.0  | 3200 | 2.3784          | 0.72     |
| 0.0321        | 17.0  | 3400 | 2.4105          | 0.7225   |
| 0.0119        | 18.0  | 3600 | 2.3948          | 0.73     |
| 0.0119        | 19.0  | 3800 | 2.3702          | 0.745    |
| 0.0112        | 20.0  | 4000 | 2.4061          | 0.7375   |


### Framework versions

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