---
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
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# 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: 0.7021

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7933        | 0.5   | 500  | 0.7141          |
| 0.7869        | 1.0   | 1000 | 0.7627          |
| 0.7325        | 1.5   | 1500 | 0.6917          |
| 0.7292        | 2.0   | 2000 | 0.6866          |
| 0.6861        | 2.5   | 2500 | 0.7174          |
| 0.68          | 3.0   | 3000 | 0.6940          |
| 0.622         | 3.5   | 3500 | 0.6869          |
| 0.6278        | 4.0   | 4000 | 0.7009          |
| 0.5631        | 4.5   | 4500 | 0.7326          |
| 0.5589        | 5.0   | 5000 | 0.7021          |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3