---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: Covid_Vaccine_Sentiment_Analysis_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. -->

# Covid_Vaccine_Sentiment_Analysis_Roberta_Model

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6517

## 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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7773        | 0.5   | 500  | 0.7515          |
| 0.755         | 1.0   | 1000 | 0.6408          |
| 0.6406        | 1.5   | 1500 | 0.6199          |
| 0.6047        | 2.0   | 2000 | 0.5906          |
| 0.4643        | 2.5   | 2500 | 0.6549          |
| 0.4451        | 3.0   | 3000 | 0.6517          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3