---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
model-index:
- name: Covid_Vaccine_Sentiment_Analysis_Bert_based_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_Bert_based_Model

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1041

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.789         | 0.5   | 500   | 0.7731          |
| 0.7064        | 1.0   | 1000  | 0.6793          |
| 0.6037        | 1.5   | 1500  | 0.6661          |
| 0.5897        | 2.0   | 2000  | 0.6164          |
| 0.4497        | 2.5   | 2500  | 0.8513          |
| 0.4295        | 3.0   | 3000  | 0.6836          |
| 0.3337        | 3.5   | 3500  | 1.1529          |
| 0.3251        | 4.0   | 4000  | 1.1266          |
| 0.2286        | 4.5   | 4500  | 1.3798          |
| 0.2083        | 5.0   | 5000  | 1.3455          |
| 0.1236        | 5.5   | 5500  | 1.6604          |
| 0.1606        | 6.0   | 6000  | 1.5804          |
| 0.0891        | 6.5   | 6500  | 1.7849          |
| 0.0938        | 7.0   | 7000  | 1.8743          |
| 0.0704        | 7.5   | 7500  | 1.8484          |
| 0.0636        | 8.0   | 8000  | 1.9332          |
| 0.0439        | 8.5   | 8500  | 1.9970          |
| 0.0312        | 9.0   | 9000  | 2.0451          |
| 0.0337        | 9.5   | 9500  | 2.1142          |
| 0.0219        | 10.0  | 10000 | 2.1041          |


### Framework versions

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