---
tags:
- generated_from_trainer
model-index:
- name: mytest_trainer_roberta
  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. -->

# mytest_trainer_roberta

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: 1.8617
- Rmse: 0.6928

## 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   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.7365        | 1.0   | 500  | 0.6992          | 0.7543 |
| 0.6079        | 2.0   | 1000 | 0.6532          | 0.6841 |
| 0.4798        | 3.0   | 1500 | 0.7034          | 0.6823 |
| 0.3451        | 4.0   | 2000 | 0.7757          | 0.6925 |
| 0.256         | 5.0   | 2500 | 1.0959          | 0.7266 |
| 0.1818        | 6.0   | 3000 | 1.2213          | 0.6775 |
| 0.1407        | 7.0   | 3500 | 1.4863          | 0.6764 |
| 0.0938        | 8.0   | 4000 | 1.7213          | 0.7032 |
| 0.0623        | 9.0   | 4500 | 1.8237          | 0.6917 |
| 0.0484        | 10.0  | 5000 | 1.8617          | 0.6928 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3