---
base_model: mastikaui/NLP-Sentiment-Analysis-Airline-Tweets-with-BERT-V2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: NLP-Sentiment-Analysis-Airline-Tweets-with-BERT-V2-tuning
  results: []
language:
- en
---

<!-- 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. -->

# NLP-Sentiment-Analysis-Airline-Tweets-with-BERT-V2-tuning

This model is a fine-tuned version of [mastikaui/NLP-Sentiment-Analysis-Airline-Tweets-with-BERT-V2](https://huggingface.co/mastikaui/NLP-Sentiment-Analysis-Airline-Tweets-with-BERT-V2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3128
- Accuracy: 0.8776
- F1 Score: 0.8775

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.3035        | 1.0   | 1224 | 0.3224          | 0.8636   | 0.8637   |
| 0.2797        | 2.0   | 2448 | 0.3174          | 0.8685   | 0.8685   |
| 0.2881        | 3.0   | 3672 | 0.3139          | 0.8709   | 0.8709   |
| 0.2719        | 4.0   | 4896 | 0.3167          | 0.8734   | 0.8734   |
| 0.2573        | 5.0   | 6120 | 0.3155          | 0.8758   | 0.8758   |
| 0.2524        | 6.0   | 7344 | 0.3153          | 0.8743   | 0.8743   |
| 0.2531        | 7.0   | 8568 | 0.3158          | 0.8752   | 0.8753   |
| 0.2516        | 8.0   | 9792 | 0.3199          | 0.8746   | 0.8747   |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1