---
base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: twitter-roberta-base-sentiment-latest-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. -->

# twitter-roberta-base-sentiment-latest-clickbait-task1-20-epoch-post

This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6694
- Accuracy: 0.7175

## 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  | 0.7795          | 0.655    |
| No log        | 2.0   | 400  | 0.8334          | 0.6925   |
| 0.7177        | 3.0   | 600  | 0.8965          | 0.6925   |
| 0.7177        | 4.0   | 800  | 1.0902          | 0.7075   |
| 0.272         | 5.0   | 1000 | 1.3332          | 0.6875   |
| 0.272         | 6.0   | 1200 | 1.7338          | 0.6925   |
| 0.272         | 7.0   | 1400 | 2.0445          | 0.675    |
| 0.0924        | 8.0   | 1600 | 2.1525          | 0.7      |
| 0.0924        | 9.0   | 1800 | 2.2859          | 0.69     |
| 0.0515        | 10.0  | 2000 | 2.3061          | 0.7175   |
| 0.0515        | 11.0  | 2200 | 2.3235          | 0.71     |
| 0.0515        | 12.0  | 2400 | 2.5036          | 0.69     |
| 0.0213        | 13.0  | 2600 | 2.5110          | 0.7      |
| 0.0213        | 14.0  | 2800 | 2.5487          | 0.7      |
| 0.0162        | 15.0  | 3000 | 2.5632          | 0.7125   |
| 0.0162        | 16.0  | 3200 | 2.5690          | 0.7075   |
| 0.0162        | 17.0  | 3400 | 2.6913          | 0.685    |
| 0.0085        | 18.0  | 3600 | 2.7971          | 0.7      |
| 0.0085        | 19.0  | 3800 | 2.7057          | 0.715    |
| 0.0048        | 20.0  | 4000 | 2.6694          | 0.7175   |


### Framework versions

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