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

# tweet_sentiments_analysis_roberta

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: 0.6039
- F1-score: 0.7454

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7293        | 1.0   | 1000 | 0.7054          | 0.6857   |
| 0.6175        | 2.0   | 2000 | 0.6039          | 0.7454   |
| 0.5132        | 3.0   | 3000 | 0.6426          | 0.7662   |
| 0.4113        | 4.0   | 4000 | 0.7244          | 0.7790   |
| 0.3092        | 5.0   | 5000 | 0.9855          | 0.7734   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3