---
base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment
tags:
- generated_from_trainer
model-index:
- name: twitter-xlm-roberta-base-sentiment
  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-xlm-roberta-base-sentiment

This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co./cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6295
- Rmse: 0.7173

## 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   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.7384        | 1.0   | 500  | 0.7162          | 0.7593 |
| 0.6322        | 2.0   | 1000 | 0.6433          | 0.7228 |
| 0.541         | 3.0   | 1500 | 0.6295          | 0.7173 |
| 0.4118        | 4.0   | 2000 | 0.7930          | 0.6804 |
| 0.2949        | 5.0   | 2500 | 0.8727          | 0.6756 |
| 0.2109        | 6.0   | 3000 | 1.2173          | 0.7211 |
| 0.1558        | 7.0   | 3500 | 1.5233          | 0.7249 |
| 0.1077        | 8.0   | 4000 | 1.6957          | 0.7162 |
| 0.0767        | 9.0   | 4500 | 1.8504          | 0.6982 |
| 0.0534        | 10.0  | 5000 | 1.9203          | 0.7068 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1