---
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-finetuned-classification
  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-finetuned-classification

This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1394
- Accuracy: 0.9524

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 20   | 0.1029          | 0.9810   |
| No log        | 2.0   | 40   | 0.1137          | 0.9524   |
| No log        | 3.0   | 60   | 0.1153          | 0.9524   |
| No log        | 4.0   | 80   | 0.1170          | 0.9524   |
| No log        | 5.0   | 100  | 0.1208          | 0.9524   |
| No log        | 6.0   | 120  | 0.1064          | 0.9810   |
| No log        | 7.0   | 140  | 0.1344          | 0.9524   |
| No log        | 8.0   | 160  | 0.1237          | 0.9524   |
| No log        | 9.0   | 180  | 0.1146          | 0.9524   |
| No log        | 10.0  | 200  | 0.1330          | 0.9524   |
| No log        | 11.0  | 220  | 0.1285          | 0.9524   |
| No log        | 12.0  | 240  | 0.1291          | 0.9524   |
| No log        | 13.0  | 260  | 0.1335          | 0.9524   |
| No log        | 14.0  | 280  | 0.1380          | 0.9524   |
| No log        | 15.0  | 300  | 0.1394          | 0.9524   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2