---
base_model: cardiffnlp/twitter-roberta-base-sentiment
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: TweetRoberta_5epochs
  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. -->

# TweetRoberta_5epochs

This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3387
- Accuracy: 0.9452
- F1: 0.9454

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.2755        | 1.0   | 2500  | 0.4153          | 0.9176   | 0.9129 |
| 0.2107        | 2.0   | 5000  | 0.3076          | 0.9312   | 0.9341 |
| 0.1421        | 3.0   | 7500  | 0.2812          | 0.9428   | 0.9424 |
| 0.081         | 4.0   | 10000 | 0.3304          | 0.9464   | 0.9466 |
| 0.0601        | 5.0   | 12500 | 0.3387          | 0.9452   | 0.9454 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1