---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0189
- Accuracy: 0.9981
- F1: 0.9981

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 260  | 0.1823          | 0.9597   | 0.9601 |
| 0.1563        | 2.0   | 520  | 0.0255          | 0.9962   | 0.9962 |
| 0.1563        | 3.0   | 780  | 0.0359          | 0.9942   | 0.9943 |
| 0.0358        | 4.0   | 1040 | 0.0373          | 0.9942   | 0.9943 |
| 0.0358        | 5.0   | 1300 | 0.0135          | 0.9981   | 0.9981 |
| 0.0216        | 6.0   | 1560 | 0.0151          | 0.9981   | 0.9981 |
| 0.0216        | 7.0   | 1820 | 0.0177          | 0.9981   | 0.9981 |
| 0.0022        | 8.0   | 2080 | 0.0184          | 0.9981   | 0.9981 |
| 0.0022        | 9.0   | 2340 | 0.0187          | 0.9981   | 0.9981 |
| 0.0015        | 10.0  | 2600 | 0.0189          | 0.9981   | 0.9981 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Tokenizers 0.19.1