---
license: apache-2.0
base_model: google-bert/bert-base-multilingual-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-multilingual-uncased-thesis_arian
  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-thesis_arian

This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1946
- Accuracy: 0.9677
- Macro f1 score: 0.9677

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro f1 score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------------:|
| 0.216         | 1.0   | 102  | 0.2649          | 0.9097   | 0.9094         |
| 0.1246        | 2.0   | 204  | 0.1364          | 0.9398   | 0.9398         |
| 0.0888        | 3.0   | 306  | 0.1634          | 0.9462   | 0.9462         |
| 0.0522        | 4.0   | 408  | 0.1550          | 0.9656   | 0.9656         |
| 0.0227        | 5.0   | 510  | 0.2073          | 0.9591   | 0.9591         |
| 0.0065        | 6.0   | 612  | 0.2140          | 0.9677   | 0.9677         |
| 0.0028        | 7.0   | 714  | 0.2005          | 0.9656   | 0.9656         |
| 0.0017        | 8.0   | 816  | 0.1946          | 0.9677   | 0.9677         |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2