---
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: 2.1070

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.7469        | 0.5   | 500   | 0.7283          |
| 0.691         | 1.0   | 1000  | 0.6457          |
| 0.5828        | 1.5   | 1500  | 0.6741          |
| 0.5723        | 2.0   | 2000  | 0.6179          |
| 0.4145        | 2.5   | 2500  | 0.8410          |
| 0.4044        | 3.0   | 3000  | 0.7809          |
| 0.2592        | 3.5   | 3500  | 1.1192          |
| 0.2932        | 4.0   | 4000  | 1.2706          |
| 0.162         | 4.5   | 4500  | 1.3559          |
| 0.1846        | 5.0   | 5000  | 1.2930          |
| 0.0975        | 5.5   | 5500  | 1.4937          |
| 0.1228        | 6.0   | 6000  | 1.5674          |
| 0.0718        | 6.5   | 6500  | 1.6709          |
| 0.068         | 7.0   | 7000  | 1.8645          |
| 0.0478        | 7.5   | 7500  | 2.0231          |
| 0.0504        | 8.0   | 8000  | 1.8383          |
| 0.0245        | 8.5   | 8500  | 2.0527          |
| 0.0366        | 9.0   | 9000  | 2.0015          |
| 0.0197        | 9.5   | 9500  | 2.1190          |
| 0.0147        | 10.0  | 10000 | 2.1070          |


### Framework versions

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