---
library_name: transformers
license: cc-by-nc-4.0
base_model: tabularisai/multilingual-sentiment-analysis
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: models
  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. -->

# models

This model is a fine-tuned version of [tabularisai/multilingual-sentiment-analysis](https://huggingface.co/tabularisai/multilingual-sentiment-analysis) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0935
- Accuracy: 0.5621

## 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: cosine
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.795         | 1.0   | 612  | 2.1355          | 0.4118   |
| 1.9349        | 2.0   | 1224 | 1.9007          | 0.5098   |
| 1.4273        | 3.0   | 1836 | 1.8531          | 0.4771   |
| 1.1468        | 4.0   | 2448 | 1.9540          | 0.5490   |
| 0.5264        | 5.0   | 3060 | 2.3194          | 0.5556   |
| 0.3715        | 6.0   | 3672 | 2.4709          | 0.5686   |
| 0.3075        | 7.0   | 4284 | 2.8005          | 0.5556   |
| 0.2411        | 8.0   | 4896 | 2.9736          | 0.5490   |
| 0.1735        | 9.0   | 5508 | 3.0577          | 0.5621   |
| 0.1708        | 10.0  | 6120 | 3.0935          | 0.5621   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1