---
base_model: cardiffnlp/twitter-roberta-base-sentiment
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: sentiment_analysis_test_trainer
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# sentiment_analysis_test_trainer

This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6745
- F1: 0.7714

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.3816        | 1.0   | 2000  | 0.6745          | 0.7714 |
| 0.9117        | 2.0   | 4000  | 0.7543          | 0.7910 |
| 0.4424        | 3.0   | 6000  | 0.9791          | 0.7842 |
| 0.5296        | 4.0   | 8000  | 1.1339          | 0.7876 |
| 0.4858        | 5.0   | 10000 | 1.2443          | 0.7838 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1