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

# fine_tuning_roberta_model

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: 1.1741
- Rmse: 0.6882

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rmse   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.5085        | 1.0   | 5    | 0.6268          | 0.7255 |
| 0.2562        | 2.0   | 10   | 0.6686          | 0.7255 |
| 0.1496        | 3.0   | 15   | 0.6989          | 0.5620 |
| 0.0934        | 4.0   | 20   | 1.0044          | 0.6882 |
| 0.1224        | 5.0   | 25   | 1.1798          | 0.7255 |
| 0.0561        | 6.0   | 30   | 1.1906          | 0.6882 |
| 0.0207        | 7.0   | 35   | 1.1774          | 0.6882 |
| 0.0417        | 8.0   | 40   | 1.1551          | 0.6882 |
| 0.0131        | 9.0   | 45   | 1.1628          | 0.6882 |
| 0.0134        | 10.0  | 50   | 1.1741          | 0.6882 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cpu
- Datasets 2.14.6
- Tokenizers 0.14.1