---
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-multilingual-uncased-sentiment
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-multilingual-uncased-sentiment

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2373
- Accuracy: 0.4444

## 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: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 428  | 2.8524          | 0.3076   |
| 0.3941        | 2.0   | 856  | 2.3726          | 0.5602   |
| 0.1962        | 3.0   | 1284 | 3.2373          | 0.4444   |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1