---
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: 0.7057
- F1 Score: 0.6844

## 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 | F1 Score |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.8268        | 0.5   | 500   | 0.7473          | 0.6734   |
| 0.792         | 1.0   | 1000  | 0.7927          | 0.6723   |
| 0.7531        | 1.5   | 1500  | 0.7387          | 0.6705   |
| 0.7527        | 2.0   | 2000  | 0.7057          | 0.6844   |
| 0.7302        | 2.5   | 2500  | 0.7520          | 0.6775   |
| 0.7355        | 3.0   | 3000  | 0.7379          | 0.6797   |
| 0.7245        | 3.5   | 3500  | 0.7260          | 0.6811   |
| 0.7383        | 4.0   | 4000  | 0.7445          | 0.6791   |
| 0.7271        | 4.5   | 4500  | 0.7372          | 0.6787   |
| 0.7306        | 5.0   | 5000  | 0.7308          | 0.6816   |
| 0.7259        | 5.5   | 5500  | 0.7407          | 0.6851   |
| 0.7286        | 6.0   | 6000  | 0.7517          | 0.6854   |
| 0.7515        | 6.5   | 6500  | 0.7702          | 0.6822   |
| 0.6996        | 7.0   | 7000  | 0.7286          | 0.6877   |
| 0.7067        | 7.5   | 7500  | 0.7413          | 0.6832   |
| 0.7195        | 8.0   | 8000  | 0.7561          | 0.6842   |
| 0.7041        | 8.5   | 8500  | 0.7812          | 0.6819   |
| 0.7329        | 9.0   | 9000  | 0.7717          | 0.6846   |
| 0.7046        | 9.5   | 9500  | 0.7625          | 0.6817   |
| 0.722         | 10.0  | 10000 | 0.7432          | 0.6897   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3