---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: Sentiment-Analysis-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. -->

# Sentiment-Analysis-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: 0.6488
- F1 Score: 0.7281

## 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 | F1 Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.8011        | 0.5   | 500  | 0.8189          | 0.6563   |
| 0.7437        | 1.0   | 1000 | 0.7877          | 0.6793   |
| 0.6996        | 1.5   | 1500 | 0.6979          | 0.6996   |
| 0.6886        | 2.0   | 2000 | 0.6893          | 0.6910   |
| 0.6384        | 2.5   | 2500 | 0.8285          | 0.7133   |
| 0.6254        | 3.0   | 3000 | 0.6488          | 0.7281   |
| 0.56          | 3.5   | 3500 | 0.6755          | 0.7402   |
| 0.5731        | 4.0   | 4000 | 0.6775          | 0.7456   |
| 0.504         | 4.5   | 4500 | 0.7232          | 0.7407   |
| 0.4839        | 5.0   | 5000 | 0.7219          | 0.7512   |


### Framework versions

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