---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: sentiment_analysis
  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

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: 0.8114
- F1 Score: 0.7322

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.7577        | 1.0   | 1000  | 0.7996          | 0.6603   |
| 0.7168        | 2.0   | 2000  | 0.7362          | 0.6627   |
| 0.7201        | 3.0   | 3000  | 0.7231          | 0.6675   |
| 0.6752        | 4.0   | 4000  | 0.7051          | 0.6970   |
| 0.6374        | 5.0   | 5000  | 0.7167          | 0.7007   |
| 0.6288        | 6.0   | 6000  | 0.7278          | 0.7193   |
| 0.5579        | 7.0   | 7000  | 0.8242          | 0.7190   |
| 0.5485        | 8.0   | 8000  | 0.7587          | 0.7291   |
| 0.5309        | 9.0   | 9000  | 0.7876          | 0.7269   |
| 0.4767        | 10.0  | 10000 | 0.8114          | 0.7322   |


### Framework versions

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