---
base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
tags:
- generated_from_trainer
model-index:
- name: DriveFeelings-Roberta-sentiment-analyzer-for-twitter
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# DriveFeelings-Roberta-sentiment-analyzer-for-twitter

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: 0.3098

## 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: 6
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5256        | 1.0   | 3350  | 0.4115          |
| 0.3777        | 2.0   | 6700  | 0.3490          |
| 0.4593        | 3.0   | 10050 | 0.2626          |
| 0.073         | 4.0   | 13400 | 0.3266          |
| 0.1437        | 5.0   | 16750 | 0.3098          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.6
- Tokenizers 0.13.3