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

# university_project

This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base](https://huggingface.co/cardiffnlp/twitter-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9390
- Accuracy: 0.8431

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 0
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4989        | 1.0   | 1135 | 0.6014          | 0.8109   |
| 0.3582        | 2.0   | 2270 | 0.4748          | 0.8352   |
| 0.2795        | 3.0   | 3405 | 0.7906          | 0.8427   |
| 0.156         | 4.0   | 4540 | 0.8115          | 0.8400   |
| 0.0785        | 5.0   | 5675 | 0.9390          | 0.8431   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0