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---
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: 1.0370
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7418 | 0.5 | 500 | 0.6955 |
| 0.6729 | 1.0 | 1000 | 0.5980 |
| 0.5229 | 1.5 | 1500 | 0.6831 |
| 0.5016 | 2.0 | 2000 | 0.6205 |
| 0.327 | 2.5 | 2500 | 0.9250 |
| 0.2762 | 3.0 | 3000 | 1.0370 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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