---
library_name: transformers
base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: result5
  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. -->

# result5

This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5748
- Accuracy: 0.6675

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.918         | 1.0   | 723  | 0.8138          | 0.5976   |
| 0.8076        | 2.0   | 1446 | 0.7441          | 0.6526   |
| 0.6241        | 3.0   | 2169 | 0.7686          | 0.6668   |
| 0.5388        | 4.0   | 2892 | 0.8273          | 0.6619   |
| 0.4128        | 5.0   | 3615 | 0.8671          | 0.6654   |
| 0.3533        | 6.0   | 4338 | 1.0156          | 0.6678   |
| 0.2767        | 7.0   | 5061 | 1.1771          | 0.6734   |
| 0.2269        | 8.0   | 5784 | 1.3952          | 0.6671   |
| 0.1886        | 9.0   | 6507 | 1.5021          | 0.6702   |
| 0.1501        | 10.0  | 7230 | 1.5748          | 0.6675   |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.2.2+cu118
- Datasets 3.0.1
- Tokenizers 0.20.0